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
Contributions:1 release, 4 commits, 3 pushes in 8 months
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