# Chao Fang

> VLA enthusiast for autonomous driving

Location: Palo Alto, California, United States
Profile: https://flows.cv/chaofang

Lead large scale production ML development and release.

## Work Experience
### Principal Engineer @ NVIDIA
Jan 2022 – Present | Santa Clara, California, United States
Current: Alpamayo production model, a vision-language reasoning autonomous driving model. My responsibilities include iterating on the model architecture and model training.
Past: 3D perception of autonomous driving. Multitask machine learning model development.

### Staff Research Scientist @ Toyota Research Institute
Jan 2019 – Jan 2022 | Los Altos, California
3D object detection, ML in Decision Making and large scale ML system

### Senior Software Engineer @ Argo AI
Jan 2017 – Jan 2019 | San Francisco Bay Area
Perception, ML/DL, computer vision.

Designed, trained and lead the implementation of deep learning based object detection stack for two generations of Argo's autonomous driving system. 

Build the distributed training platform on Cloud to support fast model training.

### Staff Research Scientist @ KLA-Tencor
Jan 2016 – Jan 2017 | Milpitas, California
•	Research areas include: New deep learning network architect for detection and classification, Improving Deep learning prediction with synthetic data and multi-GPU parallelization.

•	Collect requirements from customer, design the software and hardware system, and coordinate agile development

### Staff Research Scientist @ KLA-Tencor
Jan 2015 – Jan 2016 | Austin, Texas Area
Lead research of mechanical deformation of photo-polymer. Developed and implemented a 3D inhouse finite element base simulator suite in C++. Work on both system design and algorithm development.

Lead research of electron interaction with solids. Developing a fast Scanning Electron Microscope simulator.

### Research Scientist (software division) @ KLA-Tencor
Jan 2012 – Jan 2015 | Austin, Texas Area
Developing numerical algorithms of aerial image formation, PEB and Metrology for PROLITH

### Mechanical Engineer Intern @ GE
Jan 2010 – Jan 2010
Developed gas turbine compressor blade and combustion chamber fatigue prediction technologies 

Conducted finite element analysis of gas turbine combustion systems using Ansys and Nastran.

### Teaching Assistant @ Cornell University
Jan 2008 – Jan 2010
Solid Mechanics (ENGRD 2020)
System Dynamics (MAE 3660, summer)
Dynamics (ENGRE 2030)
Linear Algebra (Math 2940)


## Education
### PhD in Mechanical and Aerospace Engineering
Cornell University

### BS in Aerospace Engineering
Beihang University


## Contact & Social
- LinkedIn: https://linkedin.com/in/chao-fang-8832621a

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Source: https://flows.cv/chaofang
JSON Resume: https://flows.cv/chaofang/resume.json
Last updated: 2026-04-12