# Di Qi

> FDE @ Legora | Prev 2x YC; ML @ Meta; Princeton CS

Location: New York, New York, United States
Profile: https://flows.cv/diqi

## Work Experience
### Forward Deployed Engineer @ Legora
Jan 2025 – Present
Legora’s collaborative AI platform helps lawyers review and research faster, draft smarter, and advise with precision.

Backed by world-class investors such as Bessemer Venture Partners, ICONIQ, General Catalyst, Redpoint Ventures, Benchmark, and Y Combinator, Legora serves more than 600 leading law firms and in-house legal teams in over 50 markets.

### Co-founder / CEO @ Lantern
Jan 2023 – Jan 2025
We were building a platform for developing AI applications on top of Postgres.

Raised $4.2M from investors including The House Fund, Wayfinder Ventures, and Y Combinator (W24).

### Product Engineer @ Y Combinator
Jan 2022 – Jan 2023
I worked on the jobs platform for YC companies (Work at a Startup) and other internal tools.

### Co-founder / CTO @ Startup
Jan 2019 – Jan 2022
I built many different products, including multiple mobile apps, web apps, robotics / controls.

Raised $3.7M from investors including Soma Capital, Global Founders Capital, and Y Combinator (S20).

### Machine Learning Engineer @ Meta
Jan 2018 – Jan 2019
Dynamic Ads Ranking team. I built a search style retrieval pipeline, worked on feature engineering, and improved our offline evaluation framework.

### Software Engineer Intern @ Amazon
Jan 2017 – Jan 2017
Alexa Skills Kit (ASK) team. ASK provides APIs for developers to build applications on top of Alexa. I built an authentication workflow for the ASK CLI.

### Teaching Assistant (Philosophy) @ Princeton University
Jan 2015 – Jan 2016
Wrote course materials, co-hosted office hours, helped teach, and graded / provided feedback for assignments for Princeton's most competitive freshman seminar.

### Course Grader (Computer Science) @ Princeton University
Jan 2016 – Jan 2016
Grade and give feedback on programming assignments for COS226: Algorithms and Data Structures

### Research Assistant @ Washington University in St. Louis
Jan 2016 – Jan 2016 | St Louis, Missouri, United States
I evaluated algorithms to use metadata to provide human-understandable explanations for data anomalies in collaboration with 2 other researchers.

I was the first author on the paper presented at WACV 2017.


## Education
### Y Combinator

### Bachelor of Science - BS in Computer Science
Princeton University

### Beijing Normal University


## Contact & Social
- LinkedIn: https://linkedin.com/in/di-qi

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Source: https://flows.cv/diqi
JSON Resume: https://flows.cv/diqi/resume.json
Last updated: 2026-04-13