Atul Kamble is a Machine Learning Engineer based in San Jose with nearly a decade of hands-on experience building AIML systems across automotive and healthcare domains. He has progressed from data engineering and data science roles at TCS, Bitwise, and Medline India to ML-focused positions at Tesla and now CARIAD, demonstrating an ability to take research-caliber models into large-scale production. His background includes an MS in Data Science from University at Buffalo and a full-stack ML mindset reflected in his GitHub bio. At Tesla he worked at staff level on ML problems that likely involved perception and vehicle-scale pipeline challenges, showing both technical depth and operational rigor. Colleagues describe him as someone who bridges algorithmic innovation with production engineering—comfortable from model prototyping to deployment. He brings a practical, systems-oriented approach to ML that thrives in fast-moving, safety-critical environments.
9 years of coding experience
10 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at University at Buffalo
Bachelor of Engineering - BE Computer Engineering, Bachelor of Engineering - BE Computer Engineering at Savitribai Phule Pune University
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Atul Kamble - Machine Learning Engineer at CARIAD, Inc.