Summary
Lavish Thomas is a Data & AI manager based in Dublin with 10 years of experience building data platforms, edge analytics, and production-grade ML pipelines across enterprise environments. He has led cross-functional engineering at Microsoft to deliver a next-generation feedback SDK servicing over a million daily users, and now focuses on integrating GenAI agents to optimize data pipeline compute and cost at EY. Comfortable across cloud-native stacks (CosmosDB, Azure Data Explorer, Kusto) and front-end tooling (React/TypeScript), he blends systems-level engineering with product-focused insights. Lavish also teaches intelligent agents and mentors early-career professionals, signaling a strong commitment to knowledge transfer and practical pedagogy. His background in IoT/edge solutions and industry automation gives him a unique perspective on bridging field devices to scalable analytics. Quick to adapt and learn, he pairs hands-on coding with strategic leadership to turn research prototypes into reliable, cost-efficient production systems.
10 years of coding experience
10 years of employment as a software developer
Master of Science - MS Big Data Analytics and Artificial Intelligence, Master of Science - MS Big Data Analytics and Artificial Intelligence at Atlantic Technological University
Kendriya Vidyalaya Sangathan
Bachelor of Technology (B.Tech.) Computer Science And Engineering, Bachelor of Technology (B.Tech.) Computer Science And Engineering at Cochin University of Science and Technology
Malayalam, Hindi, English, Tamil