Summary
Kabir Chhabra is a Computer Vision Engineer with nine years of experience applying machine learning to real-world products, currently building vision systems at Verkada. He combines a strong academic foundation from IIT Delhi and USC with hands-on research internships at Stanford, GE Healthcare, and Amazon, bridging cutting-edge models and production deployment. His background spans both research and engineering roles—from ML research at Qeexo to applied ML at Easley-Dunn—giving him fluency in model development, data pipelines, and backend integration. Based in California, he focuses on scalable, robust computer vision solutions that meet enterprise requirements. Notably, Kabir’s trajectory reflects early research momentum translated into production impact, rather than a purely academic path. He brings the rigor of top-tier institutions and the pragmatism of industry engineering to speed up ML-driven product delivery.
9 years of coding experience
1 year of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)
Master's degree, Computer Science, 3.78, Master's degree, Computer Science, 3.78 at University of Southern California
DPS RK Puram
English, Hindi