Nirav Bhavsar is a Senior Applied Scientist with about a decade of experience building production-grade ML systems, spanning software engineering, applied research, and data science. Currently on Microsoft's CEAI Data Science and Applied AI team, he previously led data science for Employee Experience and Copilot Insights at Moveworks, creating LLM-powered summaries and large-scale analytics pipelines. He has deep hands-on experience with LLM/RAG systems, multilingual ASR, recommendation engines, and adaptive testing frameworks, and has shipped services that process tens of thousands of records daily. Nirav holds an M.S. by Research from IIT Madras with publications in IEEE Transactions on Automatic Control and a Best Thesis award, reflecting a strong foundation in reinforcement learning and simulation optimization. Notably, he improved an education-domain ASR to outperform Google ASR by 32% and built knowledge-graph–powered content indexing for LLMs, showing a blend of research rigor and product-focused engineering. Based in Bengaluru, he brings both large-scale production experience and academic depth to applied AI challenges.
10 years of coding experience
8 years of employment as a software developer
Indian Institute of Technology Madras
Bachelor of Engineering - BE, Electronics and Communications Engineering, Bachelor of Engineering - BE, Electronics and Communications Engineering at Gujarat Technological University (GTU)
Wellknown Data Structures & Algorithms implementation in C++. And Few competitive programming codes.
Contributions:4 commits, 3 pushes, 1 branch in 5 months
cppdata-structuredata-structures
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