Howard Wang

Lead Perception Engineer at RASTIC

New York, New York, United States
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Summary

👤
Senior
🎓
Top School
Howard Wang is a Visiting Researcher and robotics-focused ML engineer with 11 years of experience building resilient perception and distributed ML infrastructure. He designs end-to-end vision pipelines and embodied AI systems, most recently leading the perception stack for Agrobot TOM v2—a zero-shot, foundation-model-fusion ROS 2 system deployed for MassRobotics 2026. His research on scalable vector search produced a hierarchical HNSW (Pyramid Search) and a locality-aware routing layer that matched single-index recall while enabling 10k+ QPS with sub-5 ms p99 latency. Comfortable moving between C++/FAISS high-performance systems and PyTorch/ROCm model stacks, he emphasizes reproducibility, fault tolerance, and rapid deployment across new domains. Formerly an undergraduate researcher at UCSC and now pursuing advanced AI studies at Columbia and NYU, he combines academic rigor with hands-on field deployments and industry collaborations.
code11 years of coding experience
job1 year of employment as a software developer
bookComputer Science, Computer Science at New York University
bookBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Baskin Engineering at UCSC
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Github Skills (5)

rails1
dedicated1
ruby-on-rails1
ruby1
sorting1

Programming languages (2)

JavaScriptRuby

Github contributions (5)

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howardwang00/Group-Vision

Jul 2017 - Jan 2025

Contributions:51 pushes, 1 comment, 2 issues in 7 years 7 months
Simple and intuitive React JS web app for group location sharing
Contributions:3 pushes in 6 years
reactjs-webjavascriptsharingintuitive
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Howard Wang - Lead Perception Engineer at RASTIC