Vatshank Chaturvedi is a Senior Applied Scientist in San Francisco with 11 years of experience building deep learning, distributed training, and compiler-driven ML systems at Amazon. He blends a strong academic foundation—B.Tech. in Biotechnology from IIT Guwahati and an M.S. in Applied Statistics from the University of Michigan—with hands-on data science roles at Lumiata focused on healthcare ML. His background includes bioinformatics research at the Max Planck Society, reflecting a knack for translating complex biological problems into scalable statistical models. At Amazon he focuses on productionizing large-scale training pipelines and performance-aware model execution, bringing both research sensibility and engineering rigor. Colleagues describe him as someone who bridges theoretical methods and systems engineering, often surfacing non-obvious optimizations across the ML stack.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Technology (B.Tech.), Biotechnology, Bachelor of Technology (B.Tech.), Biotechnology at Indian Institute of Technology, Guwahati
Master of Science (M.S.), Applied Statistics, Master of Science (M.S.), Applied Statistics at University of Michigan
Hackable and optimized Transformers building blocks, supporting a composable construction.
Contributions:6 pushes, 2 branches in 10 months
pytorchtransformersbuilding-blockssvgrhackable
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Vatshank Chaturvedi - Senior Applied Scientist at Amazon