Sourav Chatterjee is a Machine Learning Engineer with 11 years of experience building and deploying ML and LLM-driven systems for growth, recommendation, and reliability across LinkedIn, Meta, and enterprise hardware teams. He combines a strong research pedigree (PhD from Carnegie Mellon) with hands-on production experience—leading time-series and forecasting tooling at Meta (notably contributing to the widely used Kats library) and applying ML to real-world problems from hard-drive failure prediction to marketplace notifications. Based in the San Francisco Bay Area, he focuses on causal inference, anomaly detection, and MLOps to improve user retention and operational health. Sourav’s background in mechanical engineering and experimental measurement gives him an uncommon edge in precision, simulation-informed modeling, and cross-disciplinary problem solving.
11 years of coding experience
11 years of employment as a software developer
Indian Institute of Technology Madras
St. Xavier's School, Durgapur
PhD Mechanical Engineering, PhD Mechanical Engineering at Carnegie Mellon University
Contributions:19 commits, 1 push in 1 year 1 month
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Sourav Chatterjee - Machine Learning Engineer at LinkedIn