Tejas Chopra
CEO and Co-Founder @Headroom Labs, IEEE Senior Member, and BCS Fellow, Previously @Netflix
Tejas Chopra is CEO and co-founder of Headroom Labs, building open-source token optimization and context intelligence infrastructure for production AI systems (60K+ GitHub stars, 1.6M+ downloads). Previously, he was a Senior Engineer at Netflix, where he worked on Netflix Drive & Axion — the distributed caching infrastructure powering Netflix's personalization ML at massive scale. Tejas is a 2x TEDx speaker, published author, LinkedIn Learning instructor on ML model optimization & Token compression, IEEE Senior Member, and BCS Fellow. He holds an M.S. in ECE from Carnegie Mellon University and speaks regularly at conferences, including QCon, FMS, SDC, dotAI, etc.
Make Each Token Count: Compression, Caching, and Retrieval for Production LLM Context
Every agentic AI system today is running the equivalent of an uncompressed MapReduce shuffle: bloated contexts, redundant retrievals, and cache misses that silently multiply cost and latency.
