# David Yan

> Founder at Tab Technologies | ex-Glean

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/davidyan

I'm a full-stack engineer with 8+ years of experience shipping AI-powered products from zero to production — from autonomous vehicle simulation at Zoox, to enterprise AI search at Glean, to founding my own startup exploring AI-driven UI automation.

What drives me is end-to-end ownership: designing the system, driving the product direction, and working directly with customers to make sure it actually solves their problem. I'm most energized when I'm at the intersection of deep technical work and real business impact.

## Work Experience
### Founder @ Tab Technologies
Jan 2025 – Present
Building AI Tab Complete for all

### Software Engineer @ Glean
Jan 2024 – Jan 2025 | Palo Alto, CA
Engineering and Product Lead on Deep Linked Citations
* Took feature from inception, through experimentation and implementation, to rollout and announcement.
* Result of effort was the smartest citation system on the market to date, able to cite sentences within documents, and provide the page number with links directly to the cited text.
* Launch of feature led to immediate conversion of multiple high value contracts, and even more initial calls with excited prospects.

Engineering Lead on Source Refinements
* Letting users modify the sources used to generate their Assistant responses, leading to cleaner context and higher quality answers.

### Software Engineer, Simulation @ Zoox
Jan 2021 – Jan 2024 | Foster City, California, United States
Designed and implemented a framework for efficient scenario authoring that accounts for road topology and structure.

Lead engineer for redesigning and rewriting the UI of the simulation triage service. Work involved creating a mockup of the redesign, presenting to users, implementing, deploying, and supporting users’ transitions. This significantly improved the experience and performance of other teams that rely on simulation testing.

Spearheaded multiple large scale projects to improve the performance of the backend system. Cumulative improvements reduced average latency for users by over 90%.

### Head Graduate Teaching Assistant - CIS5190 Applied Machine Learning @ University of Pennsylvania
Jan 2023 – Jan 2023 | Philadelphia, Pennsylvania, United States

### Research Assistant @ University of California, Berkeley
Jan 2020 – Jan 2020 | Berkeley, California, United States
Deep RL Research with Prof. Dawn Song and Facebook AI Research.
Auto ML Systems with Prof. Dawn Song and DARPA.

### Founding Engineer @ Oasis Labs
Jan 2018 – Jan 2020 | San Francisco Bay Area
Led project to create an app on a third-party hardware security module to allow users to securely store and access their crypto wallets.

Wrote all of the backend for a dashboard website to allow users to easily deploy decentralized services.

Experimented with TVM, an open stack machine learning platform, in order to run it from within an Intel SGX enclave (hardware secure and isolated computing environment).

### Software Engineering Intern @ Google
Jan 2017 – Jan 2017 | San Francisco Bay Area
Redesigned existing MapReduce ingest pipeline for autocomplete.


## Education
### Master of Science - MS in Robotics
University of Pennsylvania

### Bachelor of Science - BS in Electrical Engineering and Computer Science
University of California, Berkeley


## Contact & Social
- LinkedIn: https://linkedin.com/in/david-yan-b2b125105

---
Source: https://flows.cv/davidyan
JSON Resume: https://flows.cv/davidyan/resume.json
Last updated: 2026-03-29