Aarav Navani is a software engineer with five years of hands-on experience building ML-driven and cloud-native systems, currently interning as a Member of Technical Staff at Modal in the San Francisco Bay Area. He blends strong mathematical foundations from a BS in Mathematics and Computer Science with practical skills across TypeScript, React, Python, Go, and backend services to ship end-to-end products. His internships at Amazon (AWS Health AI) and Guardrails AI show experience designing HIPAA-compliant imaging pipelines, scalable APIs, and GPU‑optimized LLM validator infrastructure. He has a track record of improving deployment speed and inference latency through infrastructure automation and benchmarking, and has built user-facing systems used by thousands, like a school lunch ordering app. Curious and self-directed, he describes himself as a casual dev who learns something new every day and enjoys tackling performance and security challenges in production systems.
5 years of coding experience
4 years of employment as a software developer
University of California, Berkeley
University of California, San Diego
Evergreen Valley College
High School Diploma, High School Diploma at Evergreen Valley High School
Contributions:17 commits, 7 pushes, 1 branch in 1 day
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Aarav Navani - Member Of Technical Staff Intern at Modal