Ben Limonchik is a Senior Software Engineer with 11 years of experience building production AI systems, currently contributing to Gemini's agentic framework at Google DeepMind and extending Bard with plugins to improve conversational capability. He has a strong background in translating natural language to structured queries and scalable indexing—previously leading growth engineering at ThoughtSpot where his projects improved retention by 22% and cut memory use and suggestion scores substantially. Ben combines hands-on ML and systems work (YOLOv2 pedestrian detection, AWS microservices) with product-focused metrics work from Microsoft and DataFox, demonstrating both research depth and operational delivery. Based in Palo Alto and trained at Stanford (MS and BS), he brings a rare blend of algorithmic ML experience and large-scale production engineering that powers practical conversational and search agents. A not-obvious strength is his track record of turning novel ML prototypes into high-impact, revenue- or retention-driving features.
11 years of coding experience
6 years of employment as a software developer
Geneva, Switzerland., Geneva, Switzerland. at College Du Leman International School
Master of Science - MS, Management Science and Engineering, Master of Science - MS, Management Science and Engineering at Stanford University
Contributions:2 PRs, 5 pushes, 2 branches in 1 day
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