Sandipan Bhaumik is a Data & AI Technical Lead at Databricks, enterprise AI architect, speaker, and founder of AgentBuild, focused on helping organisations move beyond AI hype and build production-grade systems that deliver measurable business value. His work sits at the centre of one of the most important challenges in enterprise technology today: how to make AI systems trusted, governed, measurable, and scalable in real-world business environments.
With over 18 years of experience across data engineering, data governance, machine learning, and AI, Sandipan has helped enterprises across financial services, healthcare, technology, and other regulated industries connect data strategy with AI execution. Before Databricks, he worked with organisations including AWS, Telstra, and the NHS, giving him deep exposure to complex enterprise environments where architecture, governance, security, and compliance are not optional — they are mission-critical.
Sandipan’s perspective is especially valuable because he focuses on the hard part of AI adoption: not the demo, but the journey from pilot to production. His work explores how companies can design AI-ready data platforms, evaluation-first AI systems, governance-by-architecture, decision tracing, observability, and operating models that allow AI agents and intelligent systems to perform reliably at scale.
As the founder of the AgentBuild community and newsletter, he also helps technical teams, enterprise leaders, and AI builders learn how to design practical agentic AI systems grounded in real business use cases rather than abstract experimentation. Public profiles describe him as a community builder and speaker dedicated to helping businesses move beyond AI hype toward real-world outcomes.
For Webit 2026 Sofia, Sandipan brings a highly relevant and execution-driven perspective on the next phase of enterprise AI: how organisations can build AI systems that are explainable, governed, resilient, and valuable — not just impressive in a prototype. His insights will be especially valuable for senior executives, CIOs, CTOs, data leaders, founders, investors, and transformation teams seeking to understand how production AI, agentic systems, and trusted data architecture will define competitive advantage in the years ahead.