Summary
Kapil Sharma is a software engineer with 10 years of experience currently scaling AI personalization infrastructure at Meta, where he builds tooling used by 2,000+ ranking engineers and contributes to projects like PyTorch Torcharrow and Velox. He brings a rare blend of production ML systems and low-latency quantitative engineering from prior roles building HFT pipelines, options market-making tools, and real-time analytics for volatility modeling. Trained in mechanical engineering at IIT Delhi and with a Masters in Mathematics of Finance from Columbia, he combines rigorous quantitative thinking with software craftsmanship. An active open-source contributor and blogger (kapilsharma.dev), he focuses on making complex data workflows robust, performant, and developer-friendly.
10 years of coding experience
8 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)
Masters in Mathematics of Finance, Mathematics, Masters in Mathematics of Finance, Mathematics at Columbia University in the City of New York