Claire Poukey
Product Manager at Microsoft
Redmond, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolClaire Poukey is a product manager with five years of cross-functional experience blending full-stack engineering, customer advocacy, and program leadership at Microsoft, Google, and Purdue-affiliated projects. She excels at turning technical insights into prioritized roadmaps and scalable features—having engineered a system to surface 8k+ Khan Academy videos and improved TFJS BrowserStack benchmarking to persist results to Firestore. Comfortable in both code and strategy, she has hands-on experience automating ML benchmarking pipelines, defining privacy- and telemetry-aware product specs, and orchestrating DevOps handoffs. Claire is also a natural connector and team builder, onboarding and mentoring dozens of contributors and organizing company hackathons and large intern communities. Based in Redmond, she brings a creative, service-minded approach—off the clock she runs D&D campaigns, designs board games, and volunteers in STEM mentorship—which informs her user-centered, collaborative product style.
5 years of coding experience
4 years of employment as a software developer
Bachelor of Arts - BA, Communication of Science and Technology, Bachelor of Arts - BA, Communication of Science and Technology at Purdue UniversityHigh School Diploma with Scholar Distinction, High School Diploma with Scholar Distinction at Highland Park High School
English, French
Github Skills (15)
typescript10
javascript10
typescripts10
browserstack10
typescript-types10
testing9
firebase9
webassembly9
webgl9
argparse9
nodejs9
json9
deep-learning8
machine-learning8
gcp8
Programming languages (4)
Github contributions (5)
tensorflow/tfjs
Jun 2021 - Aug 2021
A WebGL accelerated JavaScript library for training and deploying ML models.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:8 reviews, 13 commits, 23 PRs in 1 month
Contributions summary:Claire primarily focused on enhancing the BrowserStack benchmarking tools within the tfjs repository. Their contributions included adding features like a help menu, an outfile option, and the ability to use CDN dependencies. They also worked on improving the testing infrastructure, adding retry capabilities, and integrating benchmarking results with a Firestore database. These changes improved the functionality and reporting capabilities of the BrowserStack benchmarks.
deployingjavascript-librarygpu-accelerationml-modelswebgl
ClaireXP/tfjs
Jun 2021 - Aug 2021
A WebGL accelerated JavaScript library for training and deploying ML models.
Contributions:2 PRs, 139 pushes, 33 branches in 2 months
deployingjavascript-libraryml-modelswebgljavascript
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