Amit Aylani

Assistant Professor, Vidyalankar Institute of Technology

Amit Aylani is passionate about leveraging technology to drive sustainable growth, with a focus on integrating Sustainability and Environmental, Social, and Governance (ESG) principles into modern applications. With a decade of experience in academia, Amit specializes in AI, Machine Learning, and Social Media Analytics while actively promoting ESG awareness in both professional and educational settings. As an experienced professor, Amit has led numerous LinkedIn sessions and workshops, managing official pages to enhance engagement and produce content that resonates with professionals. In addition to academic responsibilities, Amit plays a pivotal role in student development, serving as the CSI-VIT Chapter, NSS, and Project Coordinator at Vidyalankar. In the capacity of Internship and Placement Coordinator, Amit ensures students are well-prepared for professional success. Amit's research has been published in prominent international journals, book chapters, and conferences, including IEEE, Springer, and Scopus Indexed platforms. This work reflects Amit’s ongoing commitment to advancing knowledge in ESG, AI, and technology while shaping the future of education and technology for the next generation.

Aurelije Zovko

CTO, Zenia Graph

"Aurelije Zovko is an accomplished executive with over 30 years of experience leading technology organizations. He specializes in data science, artificial intelligence (AI), machine learning (ML), and knowledge graphs (KG). As the founder of Zenia Graph, a consulting company, Aurelije focuses on helping businesses transform their data strategies by harnessing the power of semantic knowledge graphs to unlock new opportunities and optimize performance. At Zenia Graph, Aurelije drives the company’s technological vision, overseeing the architecture and design of customized, cognitive solutions that integrate AI, ML, large language models (LLM), and KG technologies. His proven track record of delivering high-quality, reliable, and scalable solutions has enabled businesses to enhance customer experiences, streamline processes, and generate significant value. Aurelije’s leadership extends to building and managing global technology teams, mentoring talent, and collaborating with a wide range of stakeholders to deliver impactful results. His commitment to innovation and excellence continues to make Zenia Graph a leader in the knowledge graph consulting space."

Charles Ivie

Senior Architect, Amazon Web Services (AWS)

Charles Ivie is a Senior Graph Architect with the Amazon Neptune team at AWS, where he leads the design and implementation of knowledge graph technologies. With over a decade of experience, Charles played a key role in building the knowledge graph platform for the BBC's London Olympics 2012 content. Before joining AWS in 2020, Charles ran a successful consultancy, helping organizations across various industries realize their ambitions with Knowledge Graph technologies. His expertise spans multiple sectors, delivering impactful projects tailored to unique business needs. Charles continues to push the boundaries of knowledge graph solutions, leveraging his deep technical knowledge to drive innovation at AWS.

Chris Andrassy

Co-Founder and CEO, Astral Insights

Chris Andrassy is the co-founder and CEO of Astral Insights, a boutique AI and analytics consultancy based in Raleigh, North Carolina. Specializing in building efficient, adaptable, and sustainable supply chains, Chris leads his team in deploying scalable AI platforms to optimize workflows across industries. His work focuses on transforming data into actionable insights, enhancing decision-making, and improving performance throughout the enterprise value chain. Prior to founding Astral Insights, Chris gained valuable experience at PwC in their Digital Transformation division, where he honed his expertise in leveraging technology to drive business transformation. His background in technology consulting, combined with a passion for innovation, has positioned him as a key advisor and investor in several AI and analytics startups. Chris plays an instrumental role in guiding organizations to adopt AI technologies that deliver measurable results. Outside of his professional pursuits, Chris is an avid musician, skier, traveler, and fitness enthusiast, maintaining a balanced lifestyle while driving innovation in the AI space.

Dorian Cougias

Resident Genius, Unified Compliance

Dorian Cougias is a pioneering researcher, prolific author, and entrepreneur with over 30 years of experience in IT compliance, governance, and risk management. As the co-founder and CEO of Unified Compliance, he spearheaded the development of the world’s largest interconnected compliance database and designed groundbreaking tools to streamline compliance mapping using AI and natural language processing. His work has led to the creation of over 20 patents, including innovations in compliance framework database schemas and automated compliance tools. Dorian's career highlights include the design of the first federated contribution system for Governance, Risk, and Compliance (GRC) and the invention of Multi-Word Expression recognition using AI-enabled NLP engines, significantly reducing the time needed for compliance mapping. His contributions have earned numerous industry accolades, including the Global Business Excellence Award and the GRC Innovation Award. A thought leader in the field, Dorian has delivered keynote speeches at major industry events, such as ISACA and AuditBoard, and has served on numerous advisory boards and working groups, including as Chairman of TagVault.com. He is also the award-winning author of over a dozen books, including The Backup Book and Say What You Do, with over a million copies distributed globally. Dorian’s innovative work continues to drive advancements in compliance technology, helping organizations achieve regulatory compliance with efficiency and precision.

Edlira Vakaj

Birmingham City University, Associate Professor

Edlira Kalemi Vakaj is a Senior Lecturer and Leader of the Natural Language Processing (NLP) Lab, with a wealth of experience in academia and industry. A Fellow of the Higher Education Academy in the UK, Edlira has been recognized as a Marie Curie Experienced Researcher Fellow, having conducted advanced research at both the University of Surrey and Imperial College London. His expertise spans a wide range of technologies, including Semantic Web Technologies, Ontologies, Graph Databases, Artificial Intelligence (AI), and Explainable AI. Edlira has led and contributed to numerous multidisciplinary projects across fields such as Renewable Energy, Sustainability, Construction, Health, and Social Media. These projects have been funded by prestigious bodies such as FP7, Innovate UK, and Horizon, highlighting his ability to secure and manage high-impact research initiatives. With a strong foundation in Semantic Web and AI, Edlira brings a unique blend of academic knowledge and practical industrial experience, contributing significantly to advancements in AI and data technologies.

Edward Messick

Co-Founder / CTO, PolyCypher Health

Edward Messick is an experienced Bioinformatician with a strong background in genomics, biotechnology, and the pharmaceutical industries. His expertise spans bioinformatics, software and algorithm development, machine learning, pharmaceuticals/diagnostics development, and lab automation. Edward is also skilled in business and market analysis, and has a proven ability to build valuable business relationships and collaborations across sectors. With a Master of Science (MSc) in Bioinformatics from New Jersey Institute of Technology, Edward has a deep understanding of research and development, driving innovation across various scientific and technological fields. Edward is always open to entrepreneurial ventures and is actively seeking consulting or part-time opportunities to further apply his expertise and contribute to groundbreaking advancements in biotechnology and pharmaceuticals.

Fernando Ortiz-Rodriguez

Research IT Advisor, Index Nacional

Dr. Fernando Ortiz-Rodriguez is a Full Professor and Head of the Artificial Intelligence and Innovation Lab at Tamaulipas Autonomous University. He was instrumental in founding the first Business School in Tamaulipas, Mexico, and previously served as the Executive Director at the International Institute of Studies (IIES). As the former Information Technology Manager at Emerson Electric, Fernando developed over 40 software solutions, some of which are now used globally, and led the company’s early adoption of IoT and Industry 4.0 technologies. Fernando holds four PhDs in fields such as Business Strategy, Information Sciences, Artificial Intelligence, and Business Information Systems. He is a recognized researcher within the Mexican National System of Researchers (SNI) Level 1, under the National Council of Science and Technology (CONACYT), and serves as an IT advisor for INDEX. His research and professional expertise span sectors such as e-government, manufacturing, healthcare, and agriculture. In addition to his academic and research roles, Fernando is actively involved in organizing conferences, allowing him to share his knowledge and engage with emerging professionals. His leadership in both academia and industry ensures that he remains at the forefront of advancements in AI, business strategy, and technology innovation.

Jabin Geevarghese George

Global Enterprise Architect and AI in Financial Technology, Tata Consultancy Services

Jabin Geevarghese George is a distinguished leader in Financial Technology Solutions at Tata Consultancy Services (TCS) in the USA, specializing in the integration of advanced technologies within financial services. With over a decade of experience, Jabin has spearheaded transformative fintech innovations and strategic enterprise architecture projects for Fortune 500 clients, including major capital market organizations, NextEra Energy, Illumina, Hasbro, and Carhartt. His expertise spans systems modernization, agile methodologies, and AI-powered solutions, particularly in the areas of sustainability and enterprise architecture. In his role at TCS, Jabin manages a portfolio of high-impact projects valued at over $50M, driving modernization and transformation across North America, LATAM, and Asia. His visionary approach and leadership have enabled him to influence industries ranging from Capital Markets to Energy, Health Care, and Retail, while also mentoring emerging leaders in fintech. Jabin is committed to leveraging cutting-edge technologies, such as AI and cloud computing, to enhance financial operations and sustainability efforts. His work continues to bridge the gap between technology and business strategy, empowering organizations to excel in the rapidly evolving digital economy.

Jamie McCusker

Director of Data Operations, Rensselaer Polytechnic Institute

Jamie McCusker is an expert in Biomedical Semantics with a keen focus on data and provenance interoperability within the life sciences. With over 11 years of experience in software development, Jamie has contributed extensively to fields such as bioinformatics, high-performance computing, data mining, natural language processing, and supply chain auditing. Her expertise spans a wide range of technologies, including semantic web applications, bioinformatics sequencing, and provenance management. Jamie also excels in user interface design, software engineering, and IT consulting, with significant experience in Java development and web design. Jamie’s diverse background in both biomedical sciences and technology positions her at the forefront of life sciences innovation, where she continues to develop solutions that advance data integration and interoperability in the field.

Joakim Nilsson

Knowledge Graph Lead, CapGemini Sweden

Joakim Nilsson is the Knowledge Graph Lead for Sweden and the regional lead for the competence area in Data Science & AI. He holds a Master's degree in Applied Mathematics, where he graduated with top marks, and brings several years of experience in building Knowledge Graphs across both the private and public sectors. Joakim has expertise in both LPG and W3C semantics stacks, including RDF, OWL, and SHACL, and has collaborated with the Neo4j Professional Services team on various projects. In addition to his Knowledge Graph expertise, Joakim is proficient in several programming languages, including Python, C++, and JavaScript, and has experience with functional programming languages like Haskell and Scala from university and client projects. He also holds multiple certifications across Azure, AWS, Neo4j, and TigerGraph, showcasing his versatility and commitment to continuous learning. With a background in Accounting and Business Administration, Joakim excels in bridging the gap between the technical and business aspects of projects. A strong team player, he enjoys both sharing knowledge and learning from others, and is frequently invited to speak at various tech conferences.

Julian Grümmer

M&A Associate, atares

Julian Grümmer completed his PhD in Accounting and Auditing, with a focus on the use of semantically structured data in business analysis. Throughout his academic journey, Julian also contributed to a non-profit organization, playing a pivotal role in implementing internationally recognized standards for the exchange, interpretation, and presentation of corporate financial and non-financial information. His professional experience is further enhanced by internships that provided valuable insights into various industries. In M&A transactions, Julian values not only the deep dive into companies and competitive environments but also the importance of human interaction. His work blends analytical skills with an enthusiasm for digitalization, sustainability, and innovative approaches to making transactions successful and future-oriented. Julian’s ability to navigate complex financial landscapes while fostering strong personal connections with company owners, board members, and investors sets him apart. Julian’s passion for golf serves as a metaphor for his professional approach. He believes that, just like in golf, success at work depends on technique, coordination, and precision. His determination and strategic mindset, whether on the golf course or in the boardroom, are key to achieving excellence through hard work and careful planning.

Kendie Kenmoe

WRI Africa Data Lab Lead, World Resources Institute

Kendie Kenmoe is the Lead of WRI Africa’s Data Lab, where he oversees the strategic development and management of geospatial platforms, including Forest Atlases, Energy Access Explorer, Map Builder, and Africa Cities Watch. Kendie provides expert technical leadership across the continent, supporting WRI teams with the implementation and maintenance of these platforms. He leads the design and integration of critical infrastructure, software, and cloud services, leveraging technologies such as Amazon Web Services (AWS) and Esri to optimize project outcomes in areas like forest management, urban planning, and energy access. With over 7 years of experience, Kendie specializes in managing large-scale, multi-country geospatial projects, focusing on forest management, land use planning, restoration, and energy access. He is skilled in leading cross-functional teams, collaborating with global engineering and product teams to ensure alignment with project goals across Africa. His expertise extends to fundraising and donor management, having successfully led proposal development and reporting for multi-million-dollar projects funded by international donors. Kendie is a champion of capacity building, providing hands-on technical training to government agencies, NGOs, and local communities, empowering stakeholders to manage geospatial tools independently. His leadership also includes overseeing the migration of geospatial platforms to cloud-based solutions, improving performance and increasing user engagement. Additionally, he leads the monitoring and evaluation frameworks to track KPIs and ensure timely project delivery, further driving WRI Africa’s impactful data solutions.

Kurt Cagle

Editor In Chief, The Cagle Report

Kurt Cagle is the Editor-in-Chief of The Cagle Report, a weekly LinkedIn newsletter and podcast that explores the latest trends and innovations in the digital workplace. Since its launch in October 2019, Kurt has combined his deep passion for writing, data, and technology to create engaging and insightful content for a global audience of professionals and enthusiasts. His work has gained wide recognition, and The Cagle Report has become a trusted resource for those looking to stay informed on cutting-edge developments in the ever-evolving digital landscape. Kurt’s extensive background in data science and technology uniquely positions him to provide thought leadership in the fields of digital transformation, artificial intelligence, and enterprise technology. His commitment to delivering high-quality content is evident in the positive feedback and strong following his newsletter and podcast have garnered. Through The Cagle Report, Kurt continues to drive conversations around the future of work, offering fresh perspectives on how technology is reshaping industries and the workplace. His insightful commentary not only educates but also inspires professionals to adapt and thrive in the digital era.

Leonie Engemann

Work Student: Imagery & Analytics, Esri Deutschland

Leonie Engemann is a Master’s student in Geoinformatics at the University of Augsburg and a working student at Esri Germany. Combining her passion for programming and geography, Leonie specializes in spatial knowledge graphs and big data analysis. She has a keen interest in using geoinformatics to develop practical solutions for real-world challenges, driven by her love for maps and the ability to analyze and creatively approach large datasets. Leonie’s master's thesis focuses on spatial knowledge graphs, aiming to push the boundaries of geodata application beyond just coordinates or addresses. Her research delves into unlocking the full potential of geoinformatics, applying innovative techniques to solve pressing environmental and geographical issues. Outside of her academic pursuits, Leonie enjoys outdoor activities such as hiking, climbing, and camping in the Alps and Scandinavia, further fueling her connection to nature and geography.

Lindsay Pettai

Data Governance Manager, Doane Grant Thornton LLP

Lindsay Pettai is a trusted data governance advisor known for her blend of 𝐆𝐑𝐀𝐂𝐄 and 𝐆𝐑𝐈𝐓, bringing both a human touch and a fierce determination to every project. She specializes in overcoming complex data challenges, designing dynamic data solutions, and implementing best-in-class governance frameworks. Lindsay's passion lies in restoring balance to data management systems, promoting data quality cultures, increasing data literacy, and adapting companies to rapidly changing technologies. With a focus on developing detailed data governance frameworks and seamless data migration methodologies, Lindsay delivers cutting-edge reengineering of data infrastructures. Her efforts eliminate costly errors and redundancies, enhancing productivity while ensuring that her team remains ahead of technological advancements. A lifelong learner, she thrives on continuous growth, always seeking to expand her knowledge while driving her team to succeed in even the most complex projects. Lindsay’s leadership philosophy is grounded in collaboration, persuasion, and forward-thinking strategies. She understands the importance of changing mindsets and removing barriers to create a clear vision for data governance initiatives. Her assertive yet compassionate approach enables her to lead data culture transformations, equipping teams to thrive in the face of challenges and driving lasting change across organizations.

Manas Gaur

Assistant Professor, University of Maryland Baltimore County

Manas Gaur is an Assistant Professor in the Department of Computer Science at the University of Maryland, Baltimore County (UMBC). His research focuses on using knowledge graphs, artificial intelligence, and natural language processing (NLP) methods for developing knowledge-intensive language understanding applications, including conversational AI, summarization, and recommender systems. Before joining UMBC, Manas was a senior research scientist at the AI Center at Samsung Research America in Mountain View, and a visiting researcher at the Alan Turing Institute. He completed his Ph.D. at the Artificial Intelligence Institute at The University of South Carolina. Manas’s work has gained notable recognition, with coverage in media articles, podcast interviews, and invitations to deliver keynote addresses. His contributions to AI and NLP continue to push the boundaries of how language understanding technologies are applied in real-world contexts.

Manas Talukdar

Director of Engineering, Labelbox

Manas Talukdar is a senior leader in enterprise artificial intelligence and data infrastructure, with over 17 years of experience. He has held leadership roles at both startups and large public companies, playing a pivotal role in developing AI-powered products and large-scale systems used globally. Manas has contributed significantly to the world’s leading industrial process data historian, and his work continues to shape critical industries worldwide. Currently, he serves as Director of Engineering at Labelbox, where he oversees platform and product development for a data-centric AI platform, having previously led part of a big part of platform engineering at C3 AI. Manas is a senior member of IEEE, an AI senior fellow, and serves on advisory boards and councils for several AI and data-focused organizations. In addition to filing multiple patents in data processing and machine learning, he mentors startups and industry professionals and is a frequent reviewer of technical publications. His expertise in AI and data infrastructure has made him a sought-after speaker at conferences, a judge for prestigious industry awards, and a keynote speaker at university commencements. Manas’s contributions have been recognized through numerous honors, including invitations to join leading AI organizations. His ongoing efforts to advance AI and data technologies continue to leave a lasting impact across industries, driving innovation and growth in the global AI ecosystem.

Mary Salami

Graduate Assistant, UC Santa Barbara

Mary Salami is a graduate student in Geography at the University of California, Santa Barbara (UCSB), where she is a member of MOVE LAB, working under the guidance of Professor Somayeh Dodge. She earned her Bachelor's degree from Obafemi Awolowo University in Nigeria, with a thesis focused on the "Comparative Analysis of Smartphones and Survey-Grade GNSS Receivers for Parcel Boundary Determination," supervised by Dr. Caleb Oluwadare. Mary's research interests encompass computer vision, spatiotemporal data, and health. She is particularly focused on building machine learning models that analyze human mobility patterns during disease outbreaks. Her work aims to contribute to a better understanding of how human movement impacts public health outcomes, leveraging data-driven insights for more effective responses. In her free time, Mary enjoys listening to music, swimming, and exploring the web.

Michael Charles Borrelli

Director, AI & Partners

Michael Charles Borrelli is a Director at AI & Partners, Europe's leading professional services firm specializing in guiding companies through the complexities of the EU AI Act. With over 10 years of experience in financial services, compliance, and technology, Michael is dedicated to helping clients navigate the evolving regulatory landscape of AI, focusing on responsible AI that creates positive social impact while minimizing risks and challenges. In addition to his role at AI & Partners, Michael serves as an IoD Finance and FinTech Ambassador and an AI 2030 Chapter Advisor. He contributes to advancing knowledge, best practices, and policy recommendations in AI and FinTech. His academic background includes a Master of Laws in Financial Regulation and Compliance, certificates in the Oxford FinTech Programme, and Google Cloud's Responsible AI, among others. A prolific writer and speaker, Michael has published numerous articles and delivered presentations at various events on AI, FinTech, and compliance. His deep understanding of the intersection between technology, finance, and regulation positions him as a key thought leader in the field.

Peter Faleskini

Chief Executive Officer, AskFaleskini

Peter Faleskini is a visionary leader and seasoned expert who has transformed global business landscapes through his deep understanding of trade principles and strategic insight. With a career spanning multiple sectors, Peter’s contributions to the coaching and consulting industries are widely respected. His unique ability to challenge conventional thinking has earned him admiration from colleagues and clients alike. As a no-nonsense podcast host, public speaker, success coach, and author, Peter shares his personal journey from burnout and bankruptcy to rebuilding his life with a focus on sustainable growth. He began his personal renaissance with a disciplined approach to diet and exercise, and now uses his platform to present the modern economy from a skeptic’s perspective. His works help listeners discern what is truly sustainable in today’s economy. Peter’s favorite quote, “Not everything that shines is gold and not all mud is dirty,” embodies his practical and grounded philosophy. Through his podcast and speaking engagements, he offers straightforward advice on navigating life’s challenges and making smart, sustainable decisions for the future.

Ramakrishnan Garine

MSAI Student, University of Texas at Austin

Ramakrishna Garine is a seasoned supply chain management expert with over 12 years of experience spanning various industries, including retail, health, automotive, and manufacturing. His career is dedicated to optimizing supply chain operations through the innovative application of data analytics and artificial intelligence (AI). Currently, he serves as a Supply Chain Specialist at Caterpillar's Battery & Electrification Division, where his expertise in AI and machine learning drives significant improvements in supply chain efficiency. Notably, his development of Power BI dashboards increased efficiency by 30%, and his implementation of an automated order management system reduced process time by 80%. Ramakrishna is pursuing a Master of Science in Artificial Intelligence from the University of Texas at Austin and a Master of Science in Mechanical Engineering from the University of North Texas. His academic background provides him with the technical skills to apply cutting-edge methodologies to complex supply chain challenges. Before Caterpillar, Ramakrishna served as a Senior Forecast Analyst at Amazon, where he used AI-driven analytics to enhance forecast accuracy and capacity planning. He developed advanced dashboards using AWS QuickSight and PostgreSQL and applied machine learning models, such as ARIMA and Random Forest, to predict call volumes related to theft incidents. An active researcher and contributor to the academic community, Ramakrishna has published 10 papers and authored a book titled "Power of Analytics in Supply Chain Management." He has also served as a peer reviewer for prominent conferences and journals, including NeurIPS and IEEE Access. His research focuses on the integration of AI in supply chain management, and he continues to explore the transformative impact of AI on the field, both in his professional and academic pursuits.

Prasad Yalamanchi

CEO, Lead Semantics

Prasad Yalamanchi is the CEO of Lead Semantics, a company based in Chapel Hill, North Carolina, specializing in AI solutions for language and knowledge processing. Lead Semantics is the developer of TextDistil, an advanced AI product that leverages state-of-the-art large language models, modern natural language processing (NLP), machine learning, and semantic graph technologies. TextDistil functions as an automated, end-to-end cognition pipeline designed to extract knowledge from large text corpora and generate RDF triples that conform to target ontologies. These triples populate an RDF Knowledge Graph, which includes a standard SPARQL query interface. TextDistil also features a natural language search interface, allowing users to "chat" directly with documents through the Knowledge Graph (GraphRAG) for accurate and contextual responses. Additionally, it offers intelligent document corpus management and a visual graph interface. TextDistil has been successfully applied across various industries, including news, media, ESG finance, legal, education, and healthcare, solidifying Lead Semantics as a leader in the AI-powered knowledge extraction domain.

Ravi Bajracharya

CTO, datum.bio

Ravi Bajracharya is the CTO and Co-founder of Datum, with over 15 years of experience in software engineering and a strong background in AI applications within the healthcare industry. Ravi specializes in modeling health data and biomedical knowledge bases for semantic representation using RDF triple stores. His expertise lies in bridging AI technologies with healthcare data to create intelligent solutions that support precision medicine. For the past six years, Ravi has been instrumental in building AI models and knowledge infrastructures for large biotech and pharmaceutical companies. His work includes developing knowledge graphs and domain-specific language models tailored for precision medicine, enabling more accurate and effective healthcare solutions. Through his innovative approach, Ravi has contributed significantly to advancing the use of AI in healthcare, making data-driven insights more accessible and actionable. As a technology leader, Ravi remains focused on utilizing cutting-edge technologies to transform the healthcare sector, ensuring that AI solutions are aligned with the needs of biotech and pharma companies to foster better patient outcomes and advancements in medical research.

Roberto Shimizu

CEO, IntelliDoctor.ai

Roberto Shimizu is a seasoned business leader with over 20 years of experience across healthcare, insurance, and technology. As the CEO and Chief AI Officer at IntelliDoctor, Roberto co-founded an AI-driven clinical decision support system designed to provide real-time, evidence-based recommendations, significantly enhancing medical practice. His deep involvement in AI development and integration positions him as a key figure in advancing clinical solutions through technology. Roberto holds a Master’s degree in Computer Science from the Instituto de Matemática e Estatística (IME-USP), an MBA from IMD in Switzerland, and a degree in Chemical Engineering from the University of São Paulo. His leadership experience spans global organizations like Genworth/AXA, GE Capital, and Willis Towers Watson, where he played a pivotal role in aligning business strategy with cutting-edge AI solutions. Fluent in English, Spanish, and Portuguese, Roberto’s international business experience spans Brazil, Mexico, Peru, and Switzerland. In addition to his ventures, he serves as a board member of Fundação Márcio Barone Brandão, an NGO focused on providing education to underprivileged children in São Paulo. His commitment to responsible AI and healthcare innovation continues to shape the industry’s future.

Ronak Patel

CEO, Sunflower Lab

Ronak Patel is an entrepreneur and technologist with over 20 years of experience, driven by a belief in the transformative power of technology to make the world better. As the co-founder of Sunflower Lab, a fast-growing digital product and innovations agency, Ronak remains actively involved in daily technology decisions, with a keen focus on AI, Data, and Robotic Process Automation (RPA). His hands-on approach, paired with a deep understanding of emerging technologies, continues to empower Sunflower Lab’s clients to streamline operations and unlock new efficiencies. Founded in 2010, Sunflower Lab has grown to a global team of over 150 engineers and designers across North America and India, impacting hundreds of businesses with custom technology solutions. The agency’s philosophy is centered around customer-centricity, transparency, and problem-solving, not just building software. These principles have helped the company become a trusted partner for startups and established brands alike, delivering innovative products that transform how businesses operate. Ronak holds a Bachelor of Engineering in Information Technology from UVPCE and resides in Columbus, Ohio. Passionate about connecting with fellow entrepreneurs and technologists, he continually seeks to collaborate with others in AI and automation to drive impactful, innovative solutions for the future.

Sanju Tiwari

Founder, Shodhguru Labs

Sanju Tiwari is a distinguished academic and researcher with expertise in computer science, AI, and ontology engineering. As the CEO and Founder of ShodhGuru Research Labs in India, Dr. Tiwari is a professor at BVICAM, New Delhi, and a senior researcher at Universidad Autonoma de Tamaulipas, Mexico. A DAAD Post-Doc-Net AI Fellow, she has engaged in extensive international research collaborations, visiting leading German universities in 2022, including Leibniz University Hannover and Leipzig University, under a DAAD fellowship. With over 50 published research papers and 4 Scopus-indexed books, Dr. Tiwari is a prolific contributor to her field. Her current editorial projects focus on Personal Knowledge Graphs for IETE, and she has previously edited works on the Semantic Web in IoT. She plays key roles in various international conferences and workshops, serving as a General Chair, Program Chair, and Steering Committee Member, among others. Dr. Tiwari is also a Google Summer of Code Mentor at DBpedia and an InfAI member at Leipzig University, Germany. In addition to her research and academic roles, Dr. Tiwari actively supports women's empowerment in technology as a speaker for IEEE/IETE N2Women and NiWIIT. She has also served as a Judge for the G20 Conclave event conducted by All India Radio, Lucknow, and currently supervises 5 Ph.D. students from India, Germany, and Cuba.

Satya Swarup Das

Director of Solutions - Financial Services, Unisys

Satya Swarup Das is an experienced Product Leader specializing in B2B and B2B2C solutions within the Banking and Financial Services (BFS) sector. With a proven track record of leading cross-functional teams, Satya has extensive experience in building innovative products from the ground up and modernizing existing solutions. He ensures that products align with business goals while addressing customer needs effectively. Satya's expertise covers the full product management lifecycle, from defining the product vision and managing backlogs to collaborating with engineering teams and stakeholders to deliver scalable and impactful solutions. His approach is centered on solving customer challenges and driving fintech innovation. Beyond his professional pursuits, Satya is an avid cricket enthusiast and passionate about blogging on tech and domain-related topics. His goal is to collaborate on creating the next generation of fintech solutions that make a meaningful impact.

Semih Yumusak

Research Fellow: Data Discovery & Privacy

Semih Yumusak holds a PhD in Computer Engineering with a specialization in Linked Data and an MBA, combining strong academic credentials with practical expertise as a Lecturer and Software Architect. His career in the software industry is marked by significant contributions to applied AI research, particularly in Natural Language Processing (NLP) and Large Language Models (LLMs). Semih's technical skill set includes Big Data Engineering, Semantic Web, Microservices, and Software Development, making him a versatile leader in the field. Semih is actively involved in European Union projects UPCAST and RAISE, where his work focuses on data discovery and privacy. His research and applied methodologies enhance data discovery processes while ensuring compliance with privacy standards, showcasing his ability to blend technical innovation with ethical considerations. With his extensive background in NLP and software design, Semih continues to shape the future of AI-driven solutions, contributing both as a researcher and a practitioner in the global software and AI community.

Shaista Hussain

Founder / CEO, SAIF Check

Dr. Shaista Hussain is an accomplished AI DevSecOps and Machine Learning Engineering leader with a distinguished career in ML DevOps, Blockchain, Cryptocurrency, and CRISPR Cas9 Genomics. As an academic and innovator, she leads laboratories specializing in AI system design, development, and deployment, and has a deep passion for creating cutting-edge algorithms and responsible AI models. Dr. Hussain also brings significant expertise in Cybersecurity, Data Analysis, and Clinical Pathology, positioning her as a multifaceted leader in both AI and medical research. With extensive experience in developing explainable, responsible, and ethical AI, Dr. Hussain's contributions have made a lasting impact across various industries. She is recognized not only for her technical expertise but also for her leadership in AI systems, driving innovation in the design and deployment of secure machine learning models. Dr. Hussain is also an influential thought leader and accomplished researcher, having published numerous scientific papers and spoken at prestigious conferences globally, further solidifying her reputation as a pioneer in both AI and biomedical research.

Sima Yazdani

Executive Director: AI Strategy & Solutions, ELYON International

Sima Yazdani is a seasoned leader with over a decade of experience in data science and ICT, focusing on enterprise data analytics, AI-enabled solutions, and digital transformation. She specializes in developing unified data governance and data strategy using W3C’s open standards, driving innovation through interlinked conceptual data models for fine-grained integration and interoperability. Her leadership has been pivotal in migrating to AWS-based cloud solutions and building enterprise-compliant AI and knowledge graph analytics infrastructure. Sima's efforts have led to the successful integration of over 11 data sources into a cohesive architecture, accelerating Cisco’s digital transformation and enabling the creation of an AI-powered personalized recommendation engine that enhances the learning experiences of customers and partners. Her work has consistently driven customer loyalty and revenue growth through cutting-edge solutions like self-serve BI and advanced data analytics pipelines. Her leadership philosophy is centered on fairness, authenticity, and fostering diverse, high-performing teams. Sima is committed to aligning technology with strategic goals, promoting innovation, and driving customer success through a blend of technical excellence and collaborative team development.

Soumya Jyoti Banerjee

Postdoctoral Researcher, Universita di Trento

Soumya Jyoti Banerjee is a postdoctoral researcher at the Department of Information Engineering and Computer Science at the University of Trento, Italy, where he applies his expertise in graph data science to the climate domain. He holds a PhD in complex networks from Bose Institute, Kolkata, and has earned two certifications in Neo4j graph technology and graph data science, validating his expertise in this cutting-edge field. With over 12 years of experience in graph analytics and artificial intelligence, Soumya has made significant contributions to projects involving knowledge graphs, graph-enhanced machine learning, and complex systems, offering innovative solutions to real-world challenges. He has served as a senior data scientist and graph technology consultant for startups and corporate R&D labs, including Neo4j and PwC India. Soumya's mission is to advance graph data science and expand its applications, making meaningful strides in leveraging graph technologies for critical global challenges, especially in the climate and sustainability sectors.

Sruthi Radhakrishnan

AI Consultant (KG, ML, MLOps), itemis

Sruthi Radhakrishnan is an experienced AI consultant specializing in machine learning (ML), deep learning (DL), and computer vision applications across various industries. She has developed advanced algorithms for object detection, image segmentation, and posture/gesture recognition and has applied computer vision to areas such as automated optical lens/spectacles deformation detection and posture recognition systems. Sruthi is passionate about the potential of ML/DL to transform industries like healthcare, retail, and manufacturing, focusing on optimizing solutions through data governance and handling. In addition to her computer vision expertise, Sruthi is skilled in graph data science. She has worked extensively with graph databases and has developed applications involving network analysis, visualization techniques, and link prediction, particularly in the field of software traceability. Her work enables businesses to track and analyze relationships between requirements, design, and implementation artifacts, delivering valuable insights for operational success. Sruthi holds a Master’s degree in Information Technology from the University of Stuttgart, where she completed her thesis on AI-based graph completion. She has contributed to AI use cases in manufacturing and retail and actively participates as a speaker at AI conferences and workshops. Sruthi is enthusiastic about collaborating on projects related to ML operations, graph data science, computer vision, and software traceability, and looks forward to connecting with others in the field.

Sule Eryuruk

Assistant Professor, KTO Karatay University

Sule Eryuruk is an expert in Industrial Management Engineering with a specialization in Lean Consulting. With a passion for the intersection of academia and industry, Sule is dedicated to optimizing processes and driving innovation across various sectors. Her expertise spans a wide range of topics, including Lean Philosophy, Toyota Production System (TPS), Lean Management and Manufacturing, and Sustainability—with a focus on Water Management and Resource Efficiency. Sule is particularly interested in Forecasting using Machine Learning, Production Management, and Statistical Quality Control. Her work also covers areas such as International Regulations, Governmental Decision Making Strategies, and Strategic Decision Making based on Innovation. She has a keen understanding of the Automobile Industry and trends, and is deeply involved in Industrial Ecology, exploring the development of Industrial Eco-parks and the End-of-Life product regulations. Sule's focus on sustainability and efficiency has enabled her to contribute meaningfully to environmental management and the integration of innovative strategies into both governmental and industrial practices.

Tek Raj Chhetri

Postdoctoral Associate, MIT

Tek Raj Chhetri is a Postdoctoral Associate at MIT with expertise in machine learning, deep learning, knowledge graphs, and scalable software development. He has a strong foundation in computer science, working extensively with technologies such as Python, TensorFlow, cloud computing, and microservices. Tek Raj has developed innovative solutions, including a GDPR compliance verification prototype tested on 200,000 active cars, and a predictive maintenance solution utilizing knowledge graphs and Bayesian structure learning. His work spans across predictive analytics, big data, and software deployment, establishing him as a versatile professional in AI and software development. In his research career, Tek Raj has significantly contributed to AI-based optimization and GDPR compliance, participating in large-scale European projects, particularly in the manufacturing and autonomous vehicle sectors. He has earned accolades, including a special jury award (Employee of the Year), for his excellence in delivering high-quality work on time. His ability to extract valuable insights from complex datasets and implement predictive modeling solutions has greatly impacted industries such as healthcare and market research. As a passionate educator, Tek Raj mentored over 200 students during the COVID-19 pandemic, ensuring a seamless learning experience. He is also the founder of CAIR-Nepal, an organization dedicated to promoting AI research and education in Nepal. Certified as a Neo4j Professional and Neo4j Graph Data Science practitioner, Tek Raj is dedicated to advancing AI research and its real-world applications.

Travis Hansen

Product Manager, Alamon, Inc

Travis Hansen is a seasoned Product Manager and technical specialist with nearly two decades of experience in wireless technologies, tower site development, and software development. Currently serving as a Product Manager at Alamon, Inc., Travis has contributed to the company for over 18 years, excelling in various roles such as system support, safety coordination, and technical leadership. His expertise spans key areas including microwave construction, fiber installation, tower safety, and quality assurance, making him a valuable asset in the telecom industry. In recent years, Travis has expanded his skill set into software development and IT, becoming proficient in programming languages such as Java, Kotlin, and Python, along with experience in mobile application development, database support, and AWS infrastructure management. His certifications include CBRS CPI, Ceragon Certified Rollout Professional, and Cisco Certified Network Associate (CCNA) in Routing and Switching. Travis’s technical acumen extends across microwave design, network architecture, and equipment installation, where he applies his knowledge to deliver innovative solutions. Throughout his career, Travis has demonstrated leadership in managing complex projects, ensuring safety compliance, and driving quality across installations. As a safety coordinator, he developed and enforced safety policies, created training programs, and fostered a safe working environment for his teams. With his diverse background in wireless technology and software development, Travis continues to drive excellence and innovation in his current role, blending his technical expertise with leadership in product management.

Vijay Boppana

Data Scientist, Milvian Group

Vijay Boppana, Ph.D. is an accomplished AI and Machine Learning Engineer with a strong foundation in data science, electrical engineering, and computer engineering. He holds a Doctorate in Electrical Engineering and dual Master’s degrees in Electrical and Computer Engineering from Wright State University, where he gained over a decade of experience in research and teaching. His academic expertise extends across AI, natural language processing (NLP), big data, and hardware design, making him a versatile engineer and researcher. Dr. Boppana’s technical expertise encompasses both software development (Python, SQL, C, C++, Java) and hardware programming (Verilog, MATLAB). He has a proven track record in automation, embedded systems, IoT, and VLSI design, with multiple publications on low-power, high-performance digital designs, particularly in CMOS technology. His professional experience includes roles as Machine Learning Engineer, AI Research Scientist, and Algorithm Engineer, where he has worked at the intersection of hardware and software to develop efficient machine learning models and digital systems. Beyond his technical work, Dr. Boppana is also a dedicated educator and mentor, guiding students in both graduate and undergraduate programs. His combined industry and academic experience enables him to translate complex technical concepts into practical applications, contributing to cutting-edge research and product development in AI and related fields.

Joaquin Melara

Founder of SWARM Community, Host of The AI Digest Podcast

Joaquin Melara is a highly skilled content and event producer, focusing on strategy, branding, operations, and the responsible usage of Artificial Intelligence (AI) technologies. Over the last four years, Joaquin has produced media and conferences around AI that have featured global industry experts from organizations such as Adobe, Amazon, BayWa r.e., IBM, LexisNexis, MIT, Roche, Schneider Electric, Stanford, and Verizon. His expertise in event production has established him as a trusted advisor in the AI community, fostering great relationships built on trust, communication, and mutual respect. In addition to event production, Joaquin offers freelance business and project management consulting services, with experience in software development, lean product development, and operational management. Before his current role, Joaquin worked as a technical project manager, where he engaged directly with C-suite executives to translate their vision into production-ready software for various industries, including horse racing, call centers, and accounting. His role involved ensuring that complex business requirements were implemented seamlessly into functional software systems. Joaquin has also played a critical role in maintaining software at scale, supporting over 50 university partners while working for an EdTech startup. Additionally, as a consultant, he has supported startups across a wide range of industries, including AI SaaS platforms, OLED chemical products, pain management, life coaching, wellness retreats, mycology, hydroponics, and independent coffee roasting. Joaquin’s educational background, coupled with his diverse professional experiences, has equipped him with a unique perspective on AI, project management, and operations. His extensive experience speaks to his commitment to ongoing professional development. Joaquin continues to contribute to the discourse on AI, content production, and operational excellence through his work, further solidifying his position as an industry thought leader.