Chaitanya Potnis is a Lead Data Scientist with eight years of experience building scalable machine learning products across enterprise environments, currently leading ML initiatives at EPAM Systems. He combines hands-on model development and production engineering from prior roles at Cisco and Affinity Solutions with a strong academic foundation (M.S. in Computer Science, Udacity ML Nanodegree). Known for optimizing gradients—and apparently espressos—he focuses on delivering robust, reproducible ML pipelines that bridge research and production. Based in Old Toronto with roots in India, he brings a practical, product-minded approach to complex data problems and a track record of advancing ML maturity in large organizations.
8 years of coding experience
6 years of employment as a software developer
Nanodegree Machine Learning Engineer, Nanodegree Machine Learning Engineer at Udacity
Master's degree Computer Science, Master's degree Computer Science at Pace University
Bachelor of Engineering (B.E.) Computer Engineering, Bachelor of Engineering (B.E.) Computer Engineering at Maharashtra Institute of Technology
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