Summary
Aryan Arbabi is a Staff ML Research Scientist with 12 years of experience, currently leading Nuro’s LAMBDA project to build multimodal LLMs that serve as real-time reasoning and planning engines for autonomous vehicles. He transitioned from foundational work on transformer-based planning and prediction models at Nuro to architecting multimodal models that tackle long-tail driving scenarios, improving safety and decision-making in uncommon situations. His background spans applied ML in healthcare and genomics from a PhD at the University of Toronto, giving him a rare cross-domain perspective that links language, knowledge graphs, and clinical data to real-world autonomous systems. Aryan has driven projects end-to-end—from novel architectures and conditional prediction models to active learning pipelines—demonstrating both research depth and production impact. Based in Mountain View, he combines academic rigor with startup-grade execution, often growing single initiatives into company-wide efforts.
12 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of Toronto
Bachelor's Degree, Computer Engineering, Bachelor's Degree, Computer Engineering at Sharif University of Technology