Summary
Varun Shah is a software engineer with 11 years of hands-on experience building scalable systems, currently at Zip after roles across AWS including SageMaker and security-focused teams. A Purdue Computer Science Honors student with a research background, he has applied ML and NLP to reverse-engineer cryptographic primitives, porting legacy tooling to modern C++ and PyTorch-based pipelines. His work spans backend services, security, and full-stack web apps—from leading high-impact internships that increased search accuracy and platform stability to production services at Amazon. Based in the San Francisco Bay Area, he brings a researcher’s rigor to practical engineering, often bridging academic insight and production constraints. Notably, he has experience creating custom testing frameworks and tooling that improved QA and deployment robustness. Always curious, he balances broad learning across software, ML, and security with a track record of shipping measurable product improvements.
10 years of coding experience
6 years of employment as a software developer
IBDP, IBDP at Dhirubhai Ambani International School
Intensive Studies, Computer Science, Intensive Studies, Computer Science at Johns Hopkins Center For Talented Youth (CTY)
Bachelor of Science - BS, Computer Science Honors, Bachelor of Science - BS, Computer Science Honors at Purdue University
IGCSE, IGCSE at Oberoi International School
Computer Science, 96%, Computer Science, 96% at Stanford University
French, Hindi, English, Gujarati