# Haoran Liu

> Software Engineer at Haus. ex-meta, uber

Location: San Francisco, California, United States
Profile: https://flows.cv/haoranliu

Machine Learning, Data Pipeline, Backend, Experimentation

## Work Experience
### Software Engineer @ Haus
Jan 2024 – Present
ML Engineer @Science Platform.
- Build software systems to help clients run geolift experiments and measure the effectiveness of their marketing campaigns with casual inference.
- Build ML solutions to better optimize geolift experiment flow and predicts.

### Software Engineer @ Whatnot
Jan 2023 – Jan 2024
ML @ discovery
- Product Feeds ranking. Personalized recommendation for buyers to see more listings that they would bid on or purchase.
- Livestream Feeds ranking. Personalized category feeds.

### Software Engineer @ Facebook
Jan 2020 – Jan 2023 | San Francisco, California, United States
ML Engineer @ Instagram
- Train and serve caffe2/pytorch ML models for Instagram Reels recommendation system. Training data generation, feature engineering, label engineering, training, value model tuning, recurring publish, GPU inference, A/B testing, monitoring and alerts.

### Senior Software Engineer - Rider Pricing @ Uber
Jan 2018 – Jan 2020 | San Francisco Bay Area
Machine Learning Engineer in Rider Pricing Team, optimizing tradeoff between growth and profitability.
- Model, train and serve tensorflow Deep Neural Network demand model.
- Training data generation, feature engineering for demand model.
- Pricing experiments to measure rider elasticity

### Senior Software Engineer - Driver @ Uber
Jan 2016 – Jan 2018 | San Francisco Bay Area
- Designed and developed tooltips framework that powers multiple apps including Driver and Rider and used by more than 10 product teams.
- Shipped Uber's first tipping product and Uber's first loyalty program. Both project were large cross-team and cross-org collaborations and had a lot of media coverage.
- Shipped Learning Hub, which was a brand new product for the rewrite of the driver app.

### Software Engineer @ Momo US
Jan 2015 – Jan 2016
Momo is one of the top social networks in China.
The US office in SF was funded by Momo as a start-up to design and develop brand new social networking apps targeting the North American market. We designed and launched three apps from scratch that supported key features like,
1) create groups and events to meet new friends nearby with similar interests like foodie, hiking.
2) text, media and video chat.

I was an engineering lead who
- Initiates product designs from engineering prospective. 
- Turns product designs from PM and Product Designers into engineering designs like API and Data Modeling.
- Developed mobile UI/UX flows, caching, and persistent data storage.
- Productionization, logging, analytics, monitoring.

### Software Engineer @ Branding Brand
Jan 2013 – Jan 2015 | Pittsburgh, Pennsylvania, United States
– Developed ClientsPortal that provides dashboards and reports for mobile sites and apps. I worked on the backend API using node.js and the data pipelines.
- Developed iPad Point-of-Sale apps, which interact with bluetooth low energy devices like iBeacons for leading retailers like Kate Spade, ToysRus, and Barnes and Noble.
– Developed iPhone consumer apps that interact with Bluetooth devices and enable customers to self- checkout in the store for leading retailers like American Eagle, forever21, and Crate and Barrel.
– Advised the CMU Practicum Team 2014 on the Indoor Location-Based CRM App, which has won the Best Practicum 2014 at Carnegie Mellon University.

### Intern @ Bank of China
Jan 2010 – Jan 2010


## Education
### Master of Science (MS) in Information Technology
Carnegie Mellon University School of Computer Science


## Contact & Social
- LinkedIn: https://linkedin.com/in/haoran-liu-13b59844

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Source: https://flows.cv/haoranliu
JSON Resume: https://flows.cv/haoranliu/resume.json
Last updated: 2026-04-11