Vinoth Govindarajan
Member of Technical Staff, OpenAI
Speaking in 1 session at AI Engineer World's Fair 2026 — unofficial import demo
Bio
Vinoth Govindarajan is a Member of Technical Staff at OpenAI, where he works on core data infrastructure for large-scale AI systems and internal agent platforms. His work focuses on control planes, stateful architectures, scalability, low-latency systems, observability, and reliability patterns that make production system safe, resilient, and predictable. Vinoth brings an end-to-end perspective on modern data platforms and open table formats. Before OpenAI, he was a Staff Software Engineer at Apple, where he helped build next-generation data platforms using Apache Iceberg, Spark, Trino, and Flink. Earlier, at Uber, he developed incremental ETL frameworks and real-time data pipelines powered by Apache Hudi. Outside of his work, he is the co-author of Engineering Lakehouses with Open Table Formats book and writes The Agent Stack on substack platform, a systems-first publication about production AI agents and data infrastructure. Vinoth is also an open-source contributor and has presented at industry conferences and community events on lakehouse architecture, data systems, and agent harness.
Sessions
For developers: this programme is open data — JSON, iCal, schedule XML and an MCP endpoint.Show endpointsHide
- JSONEvery published session and speaker, in one request./aie-worldsfair-2026-import/feed.json
- iCalSubscribe in Google, Apple or Outlook Calendar./aie-worldsfair-2026-import/feed.ics
- Schedule XMLfrab / pentabarf — the format conference apps import./aie-worldsfair-2026-import/feed.xml
- MCP + RESTPoint Claude at the programme. OpenAPI 3.1 included./agents
No key, no signup, CORS open. Everything here is generated from the same data the organisers edit.