Nate Harada

Founding Research Scientist at Xterra AI, Inc

San Francisco, California, United States
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Summary

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Senior
🎓
Top School
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.
code12 years of coding experience
job15 years of employment as a software developer
bookM.S. Computer Science, M.S. Computer Science at University of Michigan
bookB.S. Electrical Engineering, B.S. Electrical Engineering at Tufts University
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Stackoverflow

Stats
2,482reputation
219kreached
34answers
19questions
Badges
visual-studio
top-5%
build-automation
top-5%
build-process
top-5%
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Github Skills (135)

python10
deep-learning10
data-science10
tensorflow10
pytorch10
machine-learning10
driver10
robotics9
caffe9
ml9
neural-network9
jax9
build-automation9
visual-studio9
operating-system9

Programming languages (9)

JavaC++RustStarlarkJavaScriptHTMLJupyter NotebookRuby

Github contributions (5)

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nharada1/bolt-blog

Apr 2021 - Sep 2025

:beach_umbrella: Klisé is a minimalist Jekyll theme for running a personal site or blog, light & dark mode support. (https://klise.now.sh)
Contributions:29 pushes, 3 branches in 4 years 6 months
lightminimalistdark-light-modebeachumbrella
Mri-monitoring/Mri-server

May 2015 - Dec 2015

Contributions:37 commits, 32 pushes, 3 branches in 7 months
caffemonitortraining
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