Nate Harada is a founding research scientist and machine learning engineer with 12 years of experience building perception and multimodal AI systems from prototype to production in the Bay Area. He has led teams and shipped safety-critical perception stacks at Cruise and Waymo, and co-founded Taro AI where he brought automated aerial imagery mapping and multilingual voice features to paying customers. Nate blends deep research (from sensor fusion, audio and ECG analysis to foundation models for AV perception) with pragmatic engineering: he’s equally comfortable writing firmware that ships on wearables and designing ML infrastructure for large-scale deployment. Known for shrinking safety-related detection incidents through targeted ML improvements, he focuses on turning sensor data and hardware constraints into reliable, production-grade systems.
12 years of coding experience
15 years of employment as a software developer
M.S. Computer Science, M.S. Computer Science at University of Michigan
B.S. Electrical Engineering, B.S. Electrical Engineering at Tufts University
Contributions:37 commits, 32 pushes, 3 branches in 7 months
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