Jason Winnebeck is a seasoned software consultant and cloud solutions architect with 25 years of experience delivering end-to-end systems from requirements through production. He blends deep Java backend, database and Python AI-enabled development skills with frontend and cloud architecture expertise, routinely accelerating delivery via starter projects, automation, and AI tooling like GitHub Copilot and Codex. A proven technical lead at Apple, Bosch, and Windstream, he has driven cost-saving cloud optimizations, large-scale performance improvements, and migration efforts that enabled new business capabilities. He’s built RAG chatbots and hybrid dense+sparse vector search pipelines in production, and contributed front-end enhancements to the popular d3-flame-graph plugin to improve UX and debugging. Equally comfortable writing low-level database optimizations or orchestrating Azure/AWS infrastructure as code, he brings a pragmatic, results-first approach to complex legacy integrations. Based in Fairport, NY, he combines consulting agility with a track record of patented embedded systems work and successful commercial spinouts.
25 years of coding experience
23 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Rochester Institute of Technology
A D3.js plugin that produces flame graphs from hierarchical data.
Role in this project:
Front-end Developer
Contributions:6 commits, 6 PRs, 8 comments in 1 day
Contributions summary:Jason primarily focused on enhancing the functionality and usability of the d3-flame-graph plugin. They implemented features like a customizable tooltip, allowing users to define their own tooltip functions. They also addressed styling issues by namespacing CSS classes to prevent conflicts and improved the user experience by suppressing native browser tooltips when d3 tooltips were active. Additionally, they added optional and customizable sorting.
Contributions:1 release, 132 commits, 104 pushes in 2 years 4 months
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