Haochen Wu
Founder at Tychonis
United States
Summary
👤
Senior🎓
Top SchoolHaochen Wu is a founder and former Tesla staff software engineer with 13 years of experience building production-scale vision and manufacturing systems. He led global automated inspection programs at Tesla—deploying 50+ inspections per vehicle—and later headed an integrated vision initiative as a staff engineer. Now founding Tychonis, he applies software-engineering practices to Bills of Materials, advocating for version-controlled, modular, and transparent BoMs that behave like source code. His background includes a PhD in Computer Science from UC Davis and open-source contributions to NetworkX, where he implemented and refined graph algorithms. Haochen combines deep research training with hands-on production delivery across image acquisition, training, inference, and factory integration, uniquely positioning him at the intersection of ML vision and manufacturing tooling. He’s driven by making opaque industrial workflows auditable and programmable, not just automated.
12 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at University of California, DavisBachelor of Engineering Biomedical Engineering, Bachelor of Engineering Biomedical Engineering at University of Shanghai for Science and Technology
English, Chinese
Github Skills (7)
graph-algorithms10
complex-networks10
graph-analysis10
networkx10
python10
graph-theory10
graph-visualization3
Programming languages (9)
Github contributions (5)
networkx/networkx
Oct 2015 - Sep 2019
Network Analysis in Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:21 commits, 24 PRs, 38 comments in 4 years
Contributions summary:Haochen primarily focused on implementing and refining graph algorithms within the NetworkX library, a Python package for network analysis. Their contributions include implementing reciprocity calculations for directed graphs, as well as addressing type-related issues and removing unused imports. They also updated and fixed compatibility problems with existing code.
graph-analysispythoncomplex-networksgraph-theorygraph-visualization
wuhaochen/scipy
Apr 2015 - Oct 2017
Contributions:2 PRs, 9 pushes, 5 branches in 2 years 6 months
scipypython
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