Yogesh Sharma

Architected and implemented a multi-role Seller Panel using Next.js, TypeScript, MUI, and React Query, featuring granular RBAC and comprehensive listings, leads, and media management for 350+ active sellers.

Developed real-time WebSocket chat and a Sharp-based image compression pipeline, cutting media payload by 85% and accelerating listing load time by 2.5 seconds.

Optimized data-fetching and rendering performance through dynamic imports, memoisation, and React Query caching, resulting in a 35% reduction in redundant API calls under peak seller traffic.

Built new feature pages and optimized existing ones using dynamic imports and memoisation, cutting page load time from 5-7 seconds to 2-3 seconds across the platform.

Migrated the application data layer to React Query, reducing API calls and payload size by 70% and lifting the mobile Lighthouse score from 60 to 92.

Engineered three greenfield platforms—Student Portal, Educator Dashboard, and CMS—leveraging Next.js 14, TypeScript, tRPC, and MongoDB, successfully serving 500+ students across multiple schools within 7 months.

Built and owned the real-time student analytics pipeline, which drove a 3.2x increase in Daily Active Users (DAU) and reduced teacher planning time by 25%.

Architected a unified component library that eliminated 70% of duplicate code and cut page load times by 40% through strategic implementation of code splitting, memoisation, and API caching.

Developed a client-facing food-tech site using Next.js and TypeScript with Strapi CMS integration, successfully serving over 18,000 unique visitors with an average 5-minute session duration.