Tommy Dang
Co-Founder & CEO at Mage
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolTommy Dang is a founder and engineer with 14 years of experience building data-first products and developer tools from San Francisco. As Co-Founder & CEO of Mage he leads development of an intuitive platform that builds, deploys, and runs data pipelines at scale while automating repetitive engineering toil and on-call reliability. Previously he built data and low-code ML tooling at Airbnb, grounding his product leadership in hands-on engineering and real-world data product experience. An active open-source contributor, Tommy has shipped both front-end and back-end features to the popular mage-ai project, improving UI components and pipeline orchestration. With a UC Berkeley background in economics, history, and sociology, he combines technical depth with a user-centered, systems-level view of how teams make data accessible.
14 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.S.) Economics History Sociology, Bachelor of Science (B.S.) Economics History Sociology at University of California, Berkeley
Vietnamese, English
Stackoverflow
161reputation
6kreached
3answers
3questions
Github Skills (20)
python10
typescript10
typescript-types10
typescripts10
react10
web-development8
sql8
front-end-development8
javascript8
back-end-development8
api7
data-pipeline7
data-pipelines7
django-haystack6
factory-bot6
Programming languages (13)
Github contributions (5)
mage-ai/mage-ai
May 2022 - Jan 2023
🧙 Build, run, and manage data pipelines for integrating and transforming data.
Role in this project:
Back-end & Front-end Developer
Back-end & Front-end DeveloperContributions:86 reviews, 776 commits, 2430 PRs in 7 months
Contributions summary:Tommy contributed to both the front-end and back-end of the project, as seen through changes to front-end components and back-end models, particularly focusing on custom block templates for data pipelines and implementing tag management for triggers. They demonstrated the ability to work with different technologies by adding both visual and functional enhancements while maintaining code quality through the addition of features like a select dropdown, including both UI and API updates.. The user's work included creating and updating the UI and related components.
pythondatadbttransformationdata-quality
tommydangerous/onmyblock-ios
Oct 2013 - Jan 2015
Contributions:499 commits in 1 year 2 months
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