Pratyush Kumar is a Senior Data Scientist based in San Francisco with a decade of experience designing and deploying production-grade AI systems across energy, retail, and automotive domains. He combines deep academic training (M.S. from Texas A&M, B.Tech from IIT Roorkee) and a strong publication record with hands-on engineering—building an open-source Python library for wind-energy ML and shipping high-throughput computer-vision pipelines at ParallelDots that processed millions of images weekly. At Tesla he advances applied ML at scale, and his background spans time-series forecasting, deep learning, and on-device model compression that cut model size 8x without sacrificing accuracy. Colleagues value him for bridging rigorous research with pragmatic engineering: automating pipelines to reduce technical debt by over 90% and producing uncertainty-aware forecasts for business decisions. Not obvious from titles alone, he has repeatedly translated research ideas into product-ready libraries and PyPI releases, demonstrating both reproducible science and production discipline.
Contributions:61 commits, 59 pushes, 3 branches in 6 months
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