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.