Summary
Kanish Garg is a software engineer and ML-focused tech lead with 8 years of experience building production-grade systems across cloud security and quantitative finance. Currently at Google Cloud’s BeyondCorp team, he architects device security posture signals and delivery pipelines that enable VPN-free enterprise access and unlock large deals. He combines strong research roots—multiple WACV/ICPR publications and GAN work from IIT Delhi—with practical systems skills in modern C++, TypeScript, Spanner, Hadoop and Kubernetes. Prior experience at Goldman Sachs involved automating rebalancing for a $62B portfolio and designing large-scale data integrity checks, reflecting a rare blend of ML research, high-performance systems and big-data engineering. Based in Bengaluru, he’s fluent in Java/C++/Python and has a knack for turning academic innovations into scalable, revenue-impacting features.
8 years of coding experience
1 year of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)
High School, 90%, High School, 90% at Saint Fateh Singh Convent School
Punjabi, Hindi, English