Kanav Garg
Software Engineer at Google DeepMind
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolKanav Garg is a San Francisco–based engineer and founder with eight years of experience building production systems and research-grade AI agents. After contributing to large-scale infrastructure and products at Lyft and Google, he worked as a research engineer on agent work at DeepMind’s Gemini team before co-founding Core Automation to pursue AGI-aligned development. His background spans full-stack product delivery, time-series and autoscaling systems, and applied ML—from shipping observability and financial market tooling to agent research. Kanav mixes academic rigor from a Georgia Tech MS with hands-on startup grit, and has a track record of turning intern hackathon projects into production features. Notably, he has taught core algorithms and game AI courses, underscoring an ability to explain complex ideas while architecting cutting-edge systems.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of TechnologyPre-University Course Electronics and Science, Pre-University Course Electronics and Science at Christ Junior CollegeICSE Computer Applications and Science, ICSE Computer Applications and Science at Cathedral Composite PU College & High SchoolUNSW Sydney
English, Hindi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (6)
signing5
social-media5
nodejs4
react4
typescript3
nextjs3
Programming languages (2)
Github contributions (5)
KanavKG/Donation-web
Nov 2018 - Jan 2019
Contributions:32 pushes, 1 branch in 2 months
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