Eamonn O'brienstrain
Software Engineering Manager Tech Lead at Center for AI and Digital Policy
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolEamonn O'brienstrain is a seasoned software engineering manager and tech lead with 16 years of experience building scalable full-stack systems and user-centric interfaces from cloud infrastructure to polished UIs. At Google Search he leads teams focused on privacy, transparency, and user control for AI-personalized experiences, delivering regulatory-compliant features that measurably improve engagement. His background spans research labs (HP Labs, Bell Labs) and product engineering, with 18 patents and publications that reflect a sustained drive for innovation. He previously architected control-plane infrastructure for Firebase and contributed to widely used Firebase samples, emphasizing maintainability and developer-focused documentation. Comfortable navigating complex regulatory landscapes, he combines hands-on coding with strategic leadership to ship systems at internet scale. Based in San Francisco, he now also contributes to policy work at CAIDP, bridging technical design with digital governance.
16 years of coding experience
33 years of employment as a software developer
Electronic Engineering, Electronic Engineering at University College Dublin
Stackoverflow
3,362reputation
405kreached
115answers
2questions
macros
top-5%
offset
top-5%
Github Skills (17)
javascript10
google-cloud-functions10
firebase10
macros9
offset9
realtime-database9
serverless8
faas7
google-cloud-platform7
playframework6
documentation6
graph6
ide6
css6
jquery6
Programming languages (15)
Github contributions (5)
firebase/functions-samples
May 2017 - Oct 2017
Collection of sample apps showcasing popular use cases using Cloud Functions for Firebase
Role in this project:
Back-end Developer
Back-end DeveloperContributions:58 commits, 8 PRs, 1 branch in 4 months
Contributions summary:Eamonn primarily focused on expanding documentation, incorporating code style changes, and refactoring code within the `user-data-cleanup` sample. Their work involved modifying JavaScript files, specifically `wipeout.js` and `index.js`, to improve the codebase's readability and maintainability. They also contributed to the codebase's structure, introducing changes and merges from a private release, which suggests a role in actively shaping the sample's functionality and maintainability.
casesfaas-platformuse-casessample-appsfirestore
eobrain/smoothish
Apr 2020 - May 2022
Robust smoothing of time-series data.
Contributions:14 PRs, 18 pushes, 9 branches in 2 years 1 month
forecastingsmoothingmoving-averagedatatime-series-analysis
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