Sreyashi Nag
Member Of Technical Staff at Microsoft AI
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolSreyashi Nag is an applied scientist and tech lead with 11 years of experience building LLM-driven search and query-understanding systems, most recently focused on post-training agentic capabilities and tool/API usage. Based in the San Francisco Bay Area, she has led query parsing, implicit intent understanding, and knowledge-graph integration for Amazon Search and contributed to the Rufus shopping assistant model. Her background blends industrial research and engineering—spanning internships at UC Berkeley and Alexa ML, research on social-network anomaly detection at IIIT-Delhi, and a CS master’s from Carnegie Mellon—giving her a strong foundation in graph mining, big-data pipelines, and ML productionization. Notably, she has moved from foundational research to shipping user-facing LLM features, demonstrating a rare mix of academic rigor and product-focused delivery.
11 years of coding experience
9 years of employment as a software developer
High School, High School at The Mother's International SchoolMaster's degree Computer Science, Master's degree Computer Science at Carnegie Mellon UniversityBachelor of Engineering - BE, Bachelor of Engineering - BE at Netaji Subhas Institute of Technology, University of Delhi
English, Hindi, French, Bengali
Github Skills (7)
data-context8
vendor5
srl5
nlp3
pos3
natural-language-processing2
bert2
Programming languages (1)
Github contributions (5)
sreyashinag/ground
Jul 2016 - Oct 2016
Contributions:30 pushes, 1 branch in 3 months
data-contextvendorcontext-service
shankanova/cs101
Feb 2015 - Mar 2015
Contributions:3 pushes in 1 month
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