IsabelleĀ Lee

San Francisco, California, United States
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Summary

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Rockstar
Isabelle Lee is a product and strategy professional with 12 years of experience focusing on enterprise software and SaaS, based in San Francisco. She blends product management, business development, and partnership management to align go-to-market strategy with technical delivery. Isabelle brings hands-on engineering credibility from open-source contributions to Apache PredictionIO, where she worked on backend event processing and Event API enhancements. That mix of technical depth and commercial savvy helps her translate complex data and ML-enabled features into partner-ready products. Colleagues describe her as pragmatic and outcomes-driven, skilled at turning engineering trade-offs into clear business decisions. She often surfaces subtle data integrity and API design considerations early in product roadmaps, reducing downstream integration risk.
code12 years of coding experience
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Stackoverflow

Stats
11reputation
4kreached
0answers
3questions
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Github Skills (18)

event-handling10
apidoc10
data-storage10
api10
rest-api10
scala9
machine-learning9
big-data9
bash8
twitter-bootstrap-rails6
delegation6
ruby-on-rails6
rescue6
modal-dialog6
devise6

Programming languages (4)

ScalaJavaScriptRubyAPI Blueprint

Github contributions (5)

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apache/predictionio

Sep 2014 - Jun 2015

PredictionIO, a machine learning server for developers and ML engineers.
Role in this project:
userBack-end Developer
Contributions:205 commits, 9 PRs, 64 pushes in 9 months
Contributions summary:Isabelle primarily contributed to the backend data processing and event handling features, indicated by modifications in the `data/src/main/scala/storage/Events.scala` file, specifically focusing on event validation and property management within the data storage layer. Additionally, the user made changes related to the Event API, including modifications to `EventAPI.scala` and `EventServer.scala` to create and delete events, involving the use of app keys and setting up the server. These changes include data access, including testing related bash scripts.
machine-learningpredictionioscalabig-data
cloudapp/policy

Feb 2014 - Feb 2014

Contributions:5 commits in 9 days
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