I am a frontend developer with 4+ years of experience building production applications: enterprise ERP modules, healthcare platforms and internal business tools. Most of that work has been on systems that outlive a single feature, where architecture, shared components and conventions decide how fast the next ten features ship.
My focus is scalable frontend architecture in React, Next.js and TypeScript: modular and micro-frontend structures, design systems and shared packages, complex state and data flows with Redux Toolkit, RTK Query and Zustand, and performance work measured with Lighthouse and the React DevTools Profiler rather than guessed at.
I work closely with backend, QA and product teams on API contracts and delivery, review code, and mentor junior developers. The constant across every role has been the same: reliable software that real users depend on, built so a team can keep extending it.
Why this is relevant to AI products
Products built on top of intelligent systems still need a product layer: real-time interfaces, resilient API integration, complex client state, tight performance budgets and a design system that keeps a fast-moving surface coherent. That is the layer I have been building for the last four years.