Jessie Newman is a software engineer with 11 years of experience building front-end and back-end systems at Google, Hudson River Trading, and now Jane Street, with strengths in Python, C++, distributed systems, and data-driven pipelines. They led major front-end launches for Google Drive and Search features, contributed a mobile-friendly rewrite to Google Person Finder, and built production tooling for HRT that automates data ingestion and testing for algorithmic strategies. Jessie blends product-facing UI work with low-latency trading infrastructure, and has owned tools that generate Postgres queries and nightly ETL jobs. Outside engineering, they co-founded and co-led Women@HRT, mentor underrepresented technologists, and are an active conference speaker on testing, pandas, and accessibility. Currently completing a noncompete, they remain engaged in the community through speaking and volunteering, signaling both deep technical chops and sustained commitment to broadening participation in tech.
11 years of coding experience
12 years of employment as a software developer
Bachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at Georgia Institute of Technology
English, Spanish, American Sign Language, ancient egyptian hieroglyphics
Person Finder is a searchable missing person database written in Python and hosted on App Engine.
Role in this project:
Back-end Developer
Contributions:22 commits, 5 PRs, 12 pushes in 8 months
Contributions summary:Jessie contributed to the back-end logic of the Person Finder application, as evidenced by the code changes in `add_note.py`, `view.py`, and `status.py` (renamed from the initial commit). The changes included modifying the page for adding notes and displaying person status, as well as incorporating UI updates and bug fixes. The user's commits also involved managing dependencies with Django and improving the overall user interface and application functionality.
Contributions:2 PRs, 4 pushes, 2 branches in 6 years 10 months
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