Ethan Sclarsky is a Lead Software Engineer based in the San Francisco Bay Area with four years of engineering experience and a strong interdisciplinary background spanning chemical engineering and management. He builds scalable, client-facing systems—recently leading a GPT-4–driven generative AI API serving 50,000 users—and frequently ships full-stack solutions using Node.js, AWS, and API gateways. A pragmatic collaborator and technical communicator, he partners directly with end users to turn feedback into product decisions and integrates enterprise systems like Salesforce and Microsoft Dynamics. Ethan is an active open-source contributor (notably on Swell, an API testing tool for streaming technologies) and brings a process- and safety-minded approach from his pharmaceutical manufacturing and lab automation experience. He’s equally focused on developer ergonomics and work-life balance, and has a track record of cutting costs and improving workflows through custom tooling and automation.
4 years of coding experience
7 years of employment as a software developer
B.S. Chemical Engineering, M.S. Management (conc. Supply Chain Management), Magna Cum Laude, B.S. Chemical Engineering, M.S. Management (conc. Supply Chain Management), Magna Cum Laude at Rensselaer Polytechnic Institute
Swell: API development tool that enables developers to test endpoints served over streaming technologies including Server-Sent Events (SSE), WebSockets, HTTP2, GraphQL, gRPC, and tRPC..
Role in this project:
Full-stack Developer
Contributions:63 commits, 5 PRs, 7 branches in 22 days
Contributions summary:Ethan contributed to the development of the Swell API tool by implementing Electron tests, web server functionality, and UI components. They worked on integrating GitHub sign-in functionality with axios and implemented a navigation bar. Additionally, the user added several tests.
Contributions:13 commits, 7 PRs, 7 pushes in 2 days
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Ethan Sclarsky - Lead Software Engineer at FactSet