Hemang Shah
Redmond, Washington, United States
Summary
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Senior🎓
Top SchoolHemang Shah is a Senior Software Engineer with eight years of experience building large-scale distributed systems and AI-driven search solutions that connect fragmented enterprise data into multi-turn, agentic workflows. He has a proven track record at Amazon designing high-throughput ML pipelines and semantic search systems that removed hundreds of thousands of bad listings and materially improved cost, speed, and operational efficiency. More recently he focused on enterprise search and agentic retrieval at Zoom and is now at Netflix, continuing to operationalize LLMs and vector search in production. Comfortable across cloud, NLP, computer vision, and embedding-based retrieval, Hemang excels at turning research-grade models into robust, cost-effective infra. He pairs a CMU Master's in MIS with hands-on full-stack experience dating back to AR/VR and Kinect projects, bringing both academic rigor and practical engineering chops. Colleagues rely on him to align cross-org stakeholders and integrate complex ML recommendations directly into product flows.
8 years of coding experience
5 years of employment as a software developer
Computer Science, Computer Science at Bhavan's Rajaji VidyashramMaster's degree Management Information Systems General, Master's degree Management Information Systems General at Carnegie Mellon UniversityBachelor of Technology - BTech Information Technology, Bachelor of Technology - BTech Information Technology at Sri Sivasubramaniya Nadar College Of EngineeringGithub contributions (5)
hemangshah97/leetcode_problems
Sep 2019 - Nov 2019
Contributions:90 pushes, 2 branches in 1 month
hemangshah97/bookreviewer
Sep 2017 - Sep 2017
Contributions:5 pushes, 1 branch in 1 day
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