Ross Alexander is a software engineer with nine years of experience building large-scale simulation and streaming systems for autonomous vehicles and AI research. A Stanford M.S. (and PhD candidate) in Aeronautics & Astronautics focused on AI and planning under uncertainty, he has shipped production pipelines at Waymo that ran 100M+ simulations per year and processed petabyte-scale fleet telemetry to detect safety-critical events. He blends principled research (POMDPs, MDPs on graph diffusion) with pragmatic engineering—championing ML scoring for 20x labeling efficiency and designing high-throughput data and eval infrastructure in C++, Python, SQL, and PySpark. Now based in New York and contributing at the intersection of applied ML and autonomous systems, he brings an uncommon mix of academic rigor, production-grade systems experience, and educator experience from teaching AI to pre-college students.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Science Aerospace Engineering, Bachelor of Science Aerospace Engineering at Texas A&M University
Doctor of Philosophy - PhD Aeronautics & Astronautics Artificial Intelligence Track, Doctor of Philosophy - PhD Aeronautics & Astronautics Artificial Intelligence Track at Stanford University
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