David Reed is a Senior Machine Learning Engineer based in Boston with 12 years of experience building production ML systems, full‑stack tools, and data-driven products across industry and research settings. He currently architects AI platform capabilities at Klaviyo after leadership and hands‑on roles at Alteryx and a multi-role tenure at Thomson Reuters where he combined data science, UI design, and backend engineering. His work spans signal processing, time-series and holiday-aware feature engineering—evidenced by significant contributions to the popular open-source Featuretools library adding date/time and holiday primitives and tests. Comfortable from cloud ML infra to front-end visuals, he brings a rare blend of systems rigor and product-focused design, rooted in an MS in Electrical Engineering and early technical leadership in defense and naval communications.
12 years of coding experience
15 years of employment as a software developer
Masters of Science Electrical Engineering, Masters of Science Electrical Engineering at Northeastern University
An open source python library for automated feature engineering
Role in this project:
Data Scientist
Contributions:4 releases, 108 reviews, 55 commits in 6 months
Contributions summary:David significantly contributed to the `featuretools` library, primarily by implementing new transform primitives focused on date and time manipulations, specifically related to holidays and time-based calculations. Their work involved writing new code for the `DateToHoliday` and `DistanceToHoliday` primitives. The user was also responsible for adding tests and updating documentation, demonstrating a focus on feature engineering and ensuring the functionality and accuracy of the library's components.
Contributions:9 pushes, 1 branch, 3 issues in 7 years 1 month
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David Reed - Senior Machine Learning Engineer at Klaviyo