Someshwar Chatterjee is an experienced software engineer with a decade of building large-scale backend and AI systems across Microsoft and GitHub, currently focused on designing an LLM and agent evaluation platform for robust benchmarking. He combines deep systems expertise in Java/C#/C++/Python and cloud-native architectures with hands-on work creating data pipelines and fine-tuning datasets that powered models like Codex V2 and PR review agents. At Microsoft he built globally distributed microservices and dataset workflows that improved model accuracy and developer tooling in Visual Studio and VS Code. Now at GitHub Applied Science he’s formalizing automated evaluation frameworks to measure accuracy, safety, and performance of generative agents at scale. Based in Redmond, he brings a pragmatic, metrics-driven approach to operationalizing ML research into production-grade services.
10 years of coding experience
14 years of employment as a software developer
Master of Science (M.S.) Computer Science and Engineering, Master of Science (M.S.) Computer Science and Engineering at University of Washington
Bachelor of Technology (B.Tech.) Computer Science and Engineering, Bachelor of Technology (B.Tech.) Computer Science and Engineering at West Bengal University of Technology, Kolkata
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