About

Engineering Profile

Full-stack engineer who turns ambiguous product problems into reliable, production-ready systems.

I work across React, Next.js, TypeScript, Node.js, APIs, auth, payments, AI workflows, and C#/.NET backend systems, with a focus on turning ambiguous product needs into reliable implementation.

Reduced frontend latency by 55% by removing request waterfalls and tightening load paths.

Hardened money-sensitive Node.js and MongoDB flows ahead of a 10k+ user launch.

Shipped 50+ full-stack features across education, AI chat, dashboards, and payment workflows.

Improved confidence through accessibility remediation, security-minded boundaries, and test coverage up to 98%.

I'm Shay Rosner, a full-stack software engineer who likes working close to the real problems, like slow pages, confusing flows, brittle APIs, accessibility gaps, payment edge cases, unclear requirements, and bugs that refuse to reproduce until they're in production.

I'm detail-oriented in a practical way. I care about schema consistency, client/server boundaries, accessibility, testing, performance, security, and production diagnosis because those are the things that decide whether a product is actually reliable.

I'm also someone who helps push projects across the finish line. I can step into ambiguity, figure out what is blocking progress, make the work more concrete, and keep things moving without losing sight of the user or the business goal. I'm not interested in perfect plans that never ship. I'd rather make smart trade-offs, verify the important pieces, and get useful software into people's hands.

Long-term maintainability matters to me just as much as launch. I like building systems that future developers can understand, debug, and extend. That means readable code, clear data flow, thoughtful boundaries, practical documentation, and enough testing or verification that the next change does not feel risky.

Some of my best work happens in the messy middle of a project, when the technical path is unclear, and people need someone to turn complexity into a clear explanation, a reasonable plan, and a shippable next step. At the end of the day, I like building useful software with people who care about doing the work well.