# Don Mai

> Software Engineer at Google

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

I am always eager to learn more about opportunities in artificial intelligence, machine learning, and web and mobile application development.

Feel free to contact me at donhmai (at) gmail (dot) com.

## Work Experience
### Software Engineer @ Google
Jan 2018 – Present | Mountain View, CA
* Architected offline and online ML pipelines to optimize ad targeting criteria, enhancing ad placement relevancy and driving a ~$950M annual revenue lift for the Google Display Network (GDN)
* Leveraged Gemini generative models to derive higher-quality targeting criteria for both ad requests and ad groups

### Research Assistant – Stanford Global Health @ Stanford University
Jan 2017 – Jan 2018 | Stanford, CA
Website: https://globalhealth.stanford.edu/
PI: Eran Bendavid

* Led end-to-end data engineering and technical analysis for two major global health studies, culminating in co-authored publications in Nature Communications Medicine and the American Journal of Public Health
* Trained and evaluated ML models (e.g., random forests, logistic regression) on large-scale, multi-national Demographic and Health Survey (DHS) datasets to identify predictors of HIV infection across sub-Saharan Africa
* Architected a human-in-the-loop data ingestion pipeline using Amazon Mechanical Turk to clean, standardize, and fuse highly heterogeneous survey datasets from 45 countries for downstream analysis

### Course Assistant – CS 142 (Web Applications) @ Stanford University
Jan 2016 – Jan 2018 | Stanford, CA
Website: https://web.stanford.edu/class/cs142/
Instructor: Mendel Rosenblum

* TAed this course for 5 quarters (Win 2016, Spr 2016, Win 2017, Spr 2017, Spr 2018)
* Modernized the course curriculum by migrating instructional materials and core projects from Ruby on Rails to the MEAN stack

### Course Assistant – CS 332 (Advanced Survey of Reinforcement Learning) @ Stanford University
Jan 2017 – Jan 2017 | Stanford, CA
Website: https://web.stanford.edu/class/archive/cs/cs332/cs332.1182/#!index.md
Instructor: Emma Brunskill

Mentored students through coursework, exam prep and final projects, providing technical guidance via office hours, email, and online forums

### Course Assistant – CS 145 (Databases) @ Stanford University
Jan 2016 – Jan 2016 | Stanford, CA
Website: https://cs145.stanford.edu/
Instructor: Christopher Ré

Authored homework and exam questions and led discussion sections

### Research Assistant – ShapeNet @ Stanford University
Jan 2015 – Jan 2016 | Stanford, CA
Website: https://shapenet.org/
PI: Leonidas Guibas

* Accelerated the development and public launch of ShapeNet, a repository of 3M+ 3D CAD models across 3,100+ categories that established a foundational benchmark for modern 3D computer vision
* Engineered core web-platform features integrating the WordNet taxonomy, enabling the global AI research community to seamlessly query, visualize, and retrieve large-scale geometric data

### Software Engineering Intern @ Palantir Technologies
Jan 2016 – Jan 2016 | Palo Alto, CA
Engineered interactive, high-performance UI components for a React and TypeScript single-page application

### Software Engineer @ GoDaddy
Jan 2015 – Jan 2015 | Sunnyvale, CA
Spearheaded the technical integration of acquired SaaS platforms into the GoDaddy Website Builder ecosystem, seamlessly connecting third-party APIs to unlock new publisher services such as email marketing

### Teaching Assistant – CS 188 (Introduction to Artificial Intelligence) @ UC Berkeley
Jan 2014 – Jan 2014 | Berkeley, CA
Website: https://people.eecs.berkeley.edu/~russell/classes/cs188/f14/index.html
Instructor: Stuart Russell

### Research Assistant – Schaffer Lab @ UC Berkeley
Jan 2013 – Jan 2014 | Berkeley, CA
* Developed a large-scale stochastic simulation tool utilizing probability-based event rates to model complex biological noise and cellular variation
* Designed and executed programmatic sensitivity analyses across thousands of parameters, quantifying how rare combinatorial events drive systemic biological outcomes

### Software Engineering Intern @ GoDaddy
Jan 2014 – Jan 2014 | Sunnyvale, CA
Delivered full-stack features and resolved critical performance bottlenecks for GoDaddy's WYSIWYG website builder


## Education
### Master of Science - MS in Computer Science
Stanford University

### Master of Science - MS in Statistics
Stanford University

### Bachelor of Arts - BA in Computer Science
University of California, Berkeley

### Bachelor of Science - BS in Chemical Engineering
University of California, Berkeley


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

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