Rohit Patel is a Director of Generative AI at Meta with over a decade of experience blending strategy, analytics, and hands-on machine learning to drive measurable business outcomes. He leads work on open-source Llama models and publishes in top venues, while also founding QuickAI to explore Rust, WebAssembly, and compact AI research. Rohit has a track record advising C-suite and private equity teams on AI value creation, serving on BayPine’s digital advisory board. His academic roots—PhD-level training in game theory and advanced degrees in statistics and managerial economics—inform a rare combination of rigorous modeling and product-focused execution. He builds and scales teams as comfortably as he codes models, and often operates at the intersection of research, engineering, and commercial strategy.
10 years of coding experience
8 years of employment as a software developer
Nanodegree Artificial Intelligence, Nanodegree Artificial Intelligence at Udacity
Certificate Time Series and Forecasting, Certificate Time Series and Forecasting at University of Chicago
Bachelor of Statistics (B.Stat), Bachelor of Statistics (B.Stat) at Indian Statistical Institute, Kolkata
Kellogg School of Management
Master of Statistics (M.Stat), Master of Statistics (M.Stat) at Indian Statistical Institute (ISI), New Delhi
Fast multi-threaded DataFrame library in Rust | Python | Node.js
Contributions:1 review, 13 PRs, 24 pushes in 3 months
multithreadingpolarspythondataframesrust
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