Gabe O'Leary is a Seattle-based software engineer with 14 years of experience building full‑stack web products, currently contributing at Replo and running his own transactional-splitting app, Reconcile. He’s a founding engineer with deep hands-on experience shipping consumer-facing features—browser extensions, mobile audio players, full-text search, and paid subscriptions—using modern stacks like React/Next, NestJS, Typesense, and serverless GCP. Gabe is an active open-source contributor, working on high-profile projects such as the COVID Tracking Project website (data visualization in React/Gatsby) and metascraper (robust audio/video extraction), and he’s written practical tutorials for the Point Cloud Library. Comfortable oscillating between frontend polish and backend systems, he combines product intuition from startup founding with execution experience gained at Microsoft building large-scale front-end experiences. Notably, he pairs UI/UX-forward engineering (dashboards, tooltips, reader customization) with low-level content parsing and pipeline work, making him effective on both user-facing and data-extraction problems.
14 years of coding experience
10 years of employment as a software developer
B.S.E, Computer Science and Engineering, Major GPA: 3.7, B.S.E, Computer Science and Engineering, Major GPA: 3.7 at University of Michigan
Paisley IB Magnet School
High school diploma, High school diploma at Paideia High School
Contributions:169 commits, 102 PRs, 185 pushes in 4 months
Contributions summary:Gabe primarily worked on front-end development tasks, focusing on the implementation of the dashboard feature. Their commits show the creation and modification of React components, including maps, legends, and tooltips, suggesting a focus on the user interface and data visualization. The user also integrated these components within the Gatsby framework, indicating experience with modern web development technologies. This involved changes to the overall dashboard layout and components.
Contributions summary:Gabe's commits primarily focus on creating and modifying documentation and tutorials for the Point Cloud Library (PCL). They added tutorials explaining how to use the ConcaveHull, and demonstrated how to apply the IterativeClosestPoint, Conditional Removal, and Radius Outlier Removal algorithms. The contributions include code examples, explanations, and visual aids, enhancing the usability of the library.
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