# Fang-Chieh Chou

> Software Engineer, DoorDash Labs

Location: Redwood City, California, United States
Profile: https://flows.cv/fangchieh

I am a seasoned software engineering lead in the autonomy/robotics space. Currently I am at DoorDash Labs building automated solutions for deliveries.

Before joining DoorDash, I led engineering teams at Aurora and Uber ATG and worked on various projects including object detection, trajectory prediction, sensor fusion, and end-to-end learning in autonomous vehicles.

I did my PhD at Stanford focused on computational biochemistry, RNA folding and Monte Carlo simulations.

You can find my list of publications at https://scholar.google.com/citations?user=aenlXyEAAAAJ

## Work Experience
### Software Engineer @ DoorDash
Jan 2022 – Present | San Francisco Bay Area
I work at DoorDash Labs, the robotic and automation arm of DoorDash. Currently focusing on perception and prediction.

### Senior Staff TLM @ Aurora
Jan 2021 – Jan 2022 | San Francisco Bay Area
Led the object detection team in perception, which consisted of 10+ engineers and two line managers.

The team is responsible for the on-vehicle 3D object detection system, machine learning model training, optimization and deployment, as well as data preprocessing and model evaluation.

Main focus areas include LiDAR-based and camera-based detection, sensor fusion, latency optimization and model training automation. My team also worked closely with partner teams to resolve common on-road perception disengagements and improve the system-level driving performance.

### TLM, Senior Software Engineer II @ Uber
Jan 2017 – Jan 2021 | San Francisco Bay Area
Tech lead manager in Perception-Prediction at Uber ATG. Led a team of 5 based in the SF office. Developed, deployed and improved key perception and prediction deep learning based models on ATG's autonomous vehicles. 

Major past projects include
- Deep learning based motion forecasting for road users (vehicles, pedestrians and cyclists) around autonomous vehicles.
- End-to-end trained joint perception-prediction deep model that generates object detections and motion predictions from raw sensor inputs.
- Sensor fusion (Lidar, camera, radar) in perception-prediction models.

The above projects also led to multiple patents and conference publications (ICRA, IV, WACV, KDD, etc.)

### Software Engineer @ Yelp
Jan 2015 – Jan 2017 | San Francisco Bay Area
- As a founding member of the revenue optimization team, helped it grow to a 10-person team tackling a wide variety of applied machine-learning (ML) projects.
- Built a ML based sales recommendation system, which increased sales productivity by 10%.
- Built an accurate ML model to predict advertiser churn (84% ROC-AUC).
- Led a project to optimize mobile site content with ML, which increased app installs by 7 %.
- Led the design and implementation of a feature data store and ETL pipeline shared by multiple ML systems.
- Helped organizing a Kaggle recruiting contest on Yelp photo classification; served as an interviewer and a mentor; presented in engineering learning groups and internal ML tech talks.

### Software Engineer Intern @ TellApart
Jan 2014 – Jan 2014
Developed a bottom-up simulator to model the real-time bidding of online ad, by analyzing the massive bidding data. During this project, I developed a modified logistic regression model that can handle periodic input features (e.g. time of day). The simulator was used to quickly evaluate new bidding strategies before A/B tests, and to project the budget spending accurately. The click-through rate model I revised led to a 10% revenue lift during an A/B test that I co-run.

### Teaching Assistant @ Stanford University
Jan 2010 – Jan 2012
Assisted the teaching of Stanford undergraduate chemistry classes (CHEM 130, 171, 173, 174 and 176; 5 quarters in total).

### Research Assitant @ National Taiwan University
Jan 2009 – Jan 2010
Developed new solid-state NMR techniques. Studied protein misfolding by probing the structures of amyloid fibrils using solid-state NMR.

### English Specialist (Alternative Service) @ Tainan City Government
Jan 2008 – Jan 2009
Translated Chinese documents, mails, news and speeches into English and vice versa. Received foreign guests visiting the city.


## Education
### Doctor of Philosophy (Ph.D.) in Biochemistry
Stanford University
Jan 2010 – Jan 2015

### Bachelor's Degree in Chemistry
National Taiwan University
Jan 2004 – Jan 2008


## Contact & Social
- LinkedIn: https://linkedin.com/in/fcchou
- Website: https://scholar.google.com/citations?user=aenlXyEAAAAJ

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Source: https://flows.cv/fangchieh
JSON Resume: https://flows.cv/fangchieh/resume.json
Last updated: 2026-03-23