Selvan Ravi is a research engineer with eight years of experience building and evaluating large language models and ML systems, currently focused on safety and alignment for Llama models at Meta. He has driven LLM evaluation and tooling at Patronus AI, contributed a high-performance Flax training integration at AI2, and applied contextual bandits and time-series clustering for pricing and inventory problems at Flexport. His background spans production NLP pipelines and data platforms—from an IISc smart-city vocab server and Elasticsearch search to automated inverted-index pipelines at Microsoft—demonstrating comfort across research and production. A Carnegie Mellon MS graduate, he blends rigorous experimentation with pragmatic deployment, and is notable for speeding transformer training 2.5x in an open-source integration and for publishing practical LLM evaluation work.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Intelligent Information Systems, Master of Science - MS, Intelligent Information Systems at Carnegie Mellon University
Bachelor of Technology, Information Technology, Bachelor of Technology, Information Technology at National Institute of Technology Karnataka
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