Howard Mao - Member Of Technical Staff at OpenAI

Howard Mao

Member Of Technical Staff at OpenAI

Campbell, California, United States

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Summary

🤩

Rockstar

🎓

Top School

Howard Mao is a versatile engineer with a decade of experience bridging software development and RTL design, currently contributing to TPU SoC infrastructure at OpenAI after a multi-year tenure as a silicon engineer at Google. He designs and implements reset, interrupt, CSR access, and performance-tracing infrastructure across large SoCs while also supporting RTL generation flows, combining low-level hardware rigor with software-first pragmatism. His background includes backend contributions to high-profile open-source projects like MongoDB—working on internal transactions, resharding, and chunk migration tests—and integrating MongoDB into ML metadata tooling, illustrating a knack for reliable data-driven systems. Trained at Columbia (B.S. Computer Engineering) and pursuing advanced study at UC Berkeley, he operates comfortably across chip, system, and software layers, often surfacing subtle correctness issues before they reach silicon.

10 years of coding experience

5 years of employment as a software developer

Doctor of Philosophy - PhD Electrical and Electronics Engineering, Doctor of Philosophy - PhD Electrical and Electronics Engineering at University of California, Berkeley

Bachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Columbia University

Github Skills (15)

javas10

databases10

transaction10

javascript10

mongodb10

back-end-development10

sharding10

data-integration10

sql-database10

java10

mongodb-database10

database-testing10

model-management9

machine-learning7

versioning7

Programming languages (4)

JavaC++JavaScriptPython

Github contributions (5)

mongodb/mongo

Jun 2018 - Jan 2023

The MongoDB Database

Role in this project:

Back-end Developer

Contributions:660 commits, 47 pushes, 4 branches in 4 years 8 months

Contributions summary:Howard primarily worked on the MongoDB database, contributing to tests for internal transactions. Their commits involved addressing issues related to resharding and chunk migrations, focusing on ensuring transaction integrity and the correct application of operations. They modified existing test files in JavaScript. The commits touched the functionality of handling various database operations, involving ensuring proper code execution.

nosqlc-plus-plusmongodb-databasedatabasemongodb

VertaAI/modeldb

Feb 2017 - May 2017

Open Source ML Model Versioning, Metadata, and Experiment Management

Role in this project:

Back-end Developer

Contributions:38 commits, 1 PR, 20 pushes in 2 months

Contributions summary:Howard primarily focused on integrating MongoDB into the `modeldb` project. Their contributions involved setting up the MongoDB connection, writing code to connect to the database, and implementing basic database operations. They developed a `MongoDBContext` class to handle the database connection, and they also wrote an example `main` method to insert and retrieve data from a collection to test the connection. The user also worked on making metadata values editable.

data-sciencedeep-learningmachine-learningmodel-versioningmlops

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