Summary
Apurva Shah is a software engineer based in San Francisco with four years of experience building scalable, production-ready systems across full-stack and ML domains. Currently at Tanium, he focuses on autonomous endpoint management at scale, leveraging backend services and distributed systems expertise honed through internships and roles that spanned React, Node, Python, Go, and REST APIs. His background includes ML research in computer vision and NLP at Bluebeam and developing a clinical data platform at UCLA using React, Django, and PostgreSQL, showing comfort moving models and products into production. A UCLA CS and Cognitive Science alum, he combines systems thinking with a user-focused approach to complex problems. Outside of work he’s a videographer and self-described Chipotle enthusiast, hinting at a creative streak that complements his engineering rigor.
4 years of coding experience
3 years of employment as a software developer
Cognitive Science, Computer Science, Cognitive Science, Computer Science at University of California, Los Angeles