Vida Hedayati

Architected an end-to-end platform that extracts restaurant menu items and prices from images using OCR and LLM pipelines, with React, FastAPI, PostgreSQL, Redis, and Docker. Used Cursor, Claude Code, and GitHub Copilot to accelerate prototyping, refactoring, and test generation without compromising maintainability or engineering standards.

Built 40+ reusable React and TypeScript components within a monorepo, improving UI consistency and accelerating feature delivery across ERP, e-commerce, and POS products. Cut avoidable React re-renders by up to 70% through targeted memoization and component optimization, improving responsiveness across data-heavy interfaces. Developed a Next.js e-commerce frontend with SSR, responsive UI, SEO, and accessibility, improving Lighthouse performance by approximately 30%. Delivered a fully offline-fir

Migrated legacy JavaScript modules to TypeScript and introduced monitoring with Sentry and Graylog, reducing reported production errors to approximately one per week. Implemented responsive Figma designs with React and Tailwind CSS, cutting CSS bundle size by 25% and improving mobile performance. Increased automated test coverage from 0% to 70% using Jest, React Testing Library, and Cypress, improving code quality and release confidence.