TQCEBT 2026 / Speakers

Topic

Scalable Data Engineering for Responsible Innovation

Profile

Vivek Venkatesan is a Lead Data Engineer at a Fortune 500 financial services firm, where he leads large-scale data modernization and AI enablement initiatives impacting over 9.7 million digital customers. With more than 15 years of experience spanning healthcare, finance, and public-sector analytics, he specializes in building scalable, cost-optimized, and ethical data platforms. Vivek is a Senior Member of IEEE, a published author and reviewer for IEEE and Springer conferences, and serves on the Board of Trustees of the Africa Agility Foundation. He frequently speaks on data engineering, applied AI, and responsible innovation across global academic and industry forums.

Topic

The Future of Product Management in the Age of AI

Profile

Sandeep Shivam is a product and technology leader with close to 20 years of experience driving digital innovation in financial services. He currently leads product strategy for Tavant's Touchless Lending platform, where he focuses on advancing mortgage technology through AI-led automation, intelligent decisioning, and connected digital experiences across origination, servicing, and borrower engagement. He is known for turning complex ideas into practical, enterprise-ready products that create measurable business impact. His work has consistently centered on combining innovation with execution, improving customer experience, streamlining operations, and embedding intelligence into complex financial workflows. His background includes product strategy, AI-powered platforms, digital transformation, and scalable SaaS solutions for major institutions. Sandeep is also a respected voice in the broader technology community. He is a Fellow of BCS, CMgr FCMI, a Senior Member of IEEE, and a member of the Forbes Technology Council. In addition to his leadership role, he actively contributes as a speaker, reviewer, and judge, sharing practical perspectives on AI, product leadership, and the future of fintech. He believes technology should do more than automate work. It is intended to support informed decision-making, enhance experiences, and achieve significant results on a large scale.

Topic

From Data to Decisions: The Rise of AI-Driven Management Ecosystems

Profile

Senior Data & BI Engineer with 6+ years of experience in data engineering and machine learning. Skilled in Python, SQL, and cloud platforms, building scalable ETL pipelines and data systems. Proven impact in delivering AI-driven insights and optimizing analytics infrastructure. Experienced across healthcare and e-commerce domains with strong focus on business impact.

Topic

Applications of AI/ML in Management

Profile

Senior Software Engineer with 6+ years of experience in backend development and cloud infrastructure. Skilled in Java, Python, and Terraform, building scalable distributed systems and automation for global services. Proven impact in improving system reliability, optimizing performance, and driving large-scale cloud deployments. Experienced in designing data-driven systems with a strong focus on scalability, efficiency, and real-world impact.

Topic

How GenAI is Changing the Role of the Modern Data Architect

Profile

Linga Reddy Alva is a Data & AI Solutions Architect and IEEE Senior Member specializing in cloud-native enterprise data engineering, real-time analytics, and advanced AI/ML integration. With over a decade of experience in designing and delivering large-scale data platforms across industries, he has deep expertise in Spark, Databricks, and modern data lakehouse architectures. His work focuses on bridging data engineering with AI innovation, particularly in Generative AI, Agentic AI, and AI-driven automation for enterprise transformation. He has contributed extensively to the Databricks community, published technical articles, and served as a speaker and mentor in professional forums. Linga Reddy Alva has a proven track record in architecting scalable and responsible AI systems that enhance decision-making, optimize operations, and unlock business value. He is passionate about advancing trustworthy AI practices and mentoring the next generation of data and AI professionals.

Topic

Beyond the Cloud: How Edge Intelligence is Transforming Healthcare IoT System

Profile

Ts. Dr. R. Kanesaraj is an Associate Professor at Multimedia University and a researcher in Artificial Intelligence and the Internet of Things. He holds a PhD in Computing and is recognized for his work in smart healthcare and environmental technologies. His profile highlights a strong blend of academic leadership, innovation, and applied research, with recent contributions in areas such as AI-driven healthcare solutions, customer experience transformation, and technology-enabled institutional development. He has also been associated with grant-supported research, including work on AI-driven auscultation for prehospital emergency care.

Topic

Applications of AI/ML in Management

Profile

Professor Dr Ranjit Singh, Dean, IIIT Prayagraj, is an experienced academic and higher education professional with post-graduate teaching experience since 2003. He is currently associated with the Indian Institute of Information Technology and brings a strong background in teaching, academic engagement, and institutional contribution. His profile reflects long-standing involvement in higher education, with expertise developed through years of academic service and professional commitment.

Topic

The Role of AI and Robotics in Human-Robot Coexistence

Profile

Dr. Vibekananda Dutta is an Assistant Professor in the Faculty of Mechatronics at the Warsaw University of Technology (WUT), Poland, where he leads research at the Human Cognitive Engineering Laboratory. Dr. Dutta received his Master's degree in Computer Science and Engineering from the Central University of Rajasthan, India, in 2012. He subsequently earned his Ph.D. in Automation and Robotics from WUT in 2019, supported by the Erasmus Mundus Ind-EU fellowship framework. Following his doctorate, Dr. Dutta done a postdoctoral fellowship at the University of Stuttgart, Germany (2021), funded by the prestigious DAAD Fellowship. Since 2020, he has served as an Assistant Professor at WUT. Dr. Dutta has also maintain a strong international research presence, holding distinguished roles that include a JSPS Visiting Researcher position at Waseda University (Japan), a regular Visiting Faculty appointment at IIT(ISM) Dhanbad (India), a Visiting Scholar role at the Georgia Institute of Technology (USA), and a position as a Visiting Senior Research Fellow at Shanghai Jiao Tong University (China).

Topic

Engineering AI-Driven CI/CD Systems: A Platform Engineering Perspective

Profile

Shiva Krishna Kodithyala is a Senior Engineering Manager with over 20 years of experience in platform engineering, Quality Engineering (QE), and DevOps transformation. He specializes in building scalable CI/CD systems, test automation platforms, and AI-driven quality solutions, particularly in the fintech domain. He is a published author, with research focused on the synergy between AI and human expertise in quality engineering and platform systems. Shiva actively leads the AI Collective Dallas and North Dallas chapters, fostering innovation, collaboration, and knowledge sharing within the tech community. He is a frequent speaker, mentor, and judge, passionate about advancing intelligent engineering systems and modern software delivery practices.