Summary
Shahan Nedadahandeh is an Autopilot ML Engineer and University of Waterloo computer science student with a decade of hands-on experience building high-throughput, production-grade systems and cutting-edge 3D/ML research. He has shipped security-sensitive infrastructure at Stripe, low-latency C++ features for SideFX’s Houdini, full-stack product improvements at Faire, and recent NeRF and Gaussian splatting contributions showcased in live demos and CVPR-related work. Comfortable across Go, C++, Python, TypeScript and distributed databases, he blends systems engineering rigor with research-first thinking—evident in a published live demo and one of the first Gaussian splatting editors. His internships at OpenAI and current role on Tesla Autopilot highlight a trajectory from intern to ML engineer solving real-world perception and scale problems. Outside code, he’s a musician and avid tennis player, bringing creative problem-solving and discipline from performance to engineering.
10 years of coding experience
3 years of employment as a software developer
High School Diploma Student, High School Diploma Student at Pinetree Secondary School
Bachelor's degree Honours Computer Science BMath, Bachelor's degree Honours Computer Science BMath at University of Waterloo