Saurabh Ghanekar is a Machine Learning Engineer with eight years of experience building end-to-end ML systems and researching deep learning, NLP, and reinforcement learning. He blends hands-on MLOps engineering with academic rigor, having studied entrepreneurship at UC Berkeley and earned a top-scoring BTech in Computer Science. His focus spans productionizing models and advancing NLP research, bringing both applied systems thinking and experimental curiosity to projects. Based in Texas but operating with a global mindset, he contributes to the FOSS ecosystem while prioritizing reproducible pipelines and scalable deployments. Notably, his background in entrepreneurship informs a product-aware approach to ML that balances innovation with operational reliability.
8 years of coding experience
Visiting Student, Entrepreneurship/Entrepreneurial Studies, 3.7/4.0, Visiting Student, Entrepreneurship/Entrepreneurial Studies, 3.7/4.0 at University of California, Berkeley
Bachelor of Technology - BTech, Computer Science, 9.06/10.0, Bachelor of Technology - BTech, Computer Science, 9.06/10.0 at SRM University, AP
Contributions:13 commits, 10 pushes, 1 branch in 2 years 3 months
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Saurabh Ghanekar - Machine Learning Engineer at TechCrunch, Inc.