App LogoApp name
YS

Yogesh Sharma

Open to work3 years experience

Frontend Engineer

New Delhi, IndiaTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

Frontend Engineer with 3+ years building high-performance products in Next.js and TypeScript.

GitHubLinkedIn
Resume
Email

Standing Rank

Rank Not Available

Developer Badges

Badges Pending

Skills & Technologies

36 skills
typescriptjavascriptreact.jsnext.js 14react server componentsreact queryredux toolkitcontext apitrpcrest apisstrapi apiswebsocketstailwind cssmaterial uistyled componentsnextuibootstrapfigmanode.jsmongodbprismajwtoauth 2.0vercelnetlifygitgithubci/cdwebpackcode splittinglazy loadingmemoisationlighthousecursorseoaccessibility

Work Experience

Frontend Developer

Monkhub Innovations

Jun 2025 - Present Gurugram
  • Architected a multi-role Seller Panel in Next.js, TypeScript, MUI, and React Query - with granular RBAC and listings, leads, and media management for 350+ active sellers.
  • Built real-time WebSocket chat and a Sharp-based image compression pipeline - cutting media payload by 85% and listing load time by 2.5s.
  • Optimised data-fetching and rendering performance using dynamic imports, memoisation, and React Query caching - cutting redundant API calls by 35% under peak seller traffic.
  • Integrated Cursor and Claude into development workflow - doubling component output speed by accelerating scaffolding, boilerplate, and reusable pattern generation.

Frontend Developer

Sharkdom

Feb 2025 - May 2025 Remote
  • Built new feature pages and optimised existing ones using dynamic imports and memoisation, cutting page load time from 5–7s to 2–3s 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.

Software Engineer

Thimble.io

Mar 2023 - Aug 2024 New York (Remote)
  • Engineered three greenfield platforms - Student Portal, Educator Dashboard, and CMS - in Next.js 14, TypeScript, tRPC, and MongoDB, serving 500+ students across multiple schools within 7 months.
  • Built and owned the real-time student analytics pipeline, driving a 3.2× increase in DAU and reducing teacher planning time by 25%.
  • Architected a unified component library that eliminated 70% of duplicate code and cut page load times by 40% through code splitting, memoisation, and API caching.

Projects

Learnify – AI-Powered Learning Management System

Google GeminiNext.js 15InngestClerkPostgreSQLNeonDrizzle
  • Engineered an end-to-end AI course generation pipeline using Google Gemini and Next.js 15, producing 4 study formats (notes, flashcards, quiz, Q&A) from a single topic input with structured JSON prompt engineering.
  • Decoupled long-running Gemini chapter generation from the HTTP lifecycle using Inngest background workers, making the system resilient to Vercel serverless timeouts on multi-chapter courses.
  • Secured all course-scoped API routes with server-side Clerk session validation and ownership checks, preventing unauthorized access and IDOR vulnerabilities across a multi-user PostgreSQL (Neon + Drizzle) data layer.

Leaderboard Standings

Leaderboard Position Pending

Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.

Assessment Highlights

Assessments Not Completed

Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.

AI Collaboration Score

AI Collaboration Score Pending

Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.

Role Compatibility Profile

Role Compatibility Analysis Pending

Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.

Achievements

Performance and Growth Metrics

Delivered an 85% payload reduction, 3.2× DAU lift, and a 32-point Lighthouse improvement.

About Details

Professional Bio

Frontend Engineer with 3+ years building high-performance products in Next.js and TypeScript. Delivered an 85% payload reduction, 3.2× DAU lift, and a 32-point Lighthouse improvement across proptech, edtech, and SaaS platforms.

BSc in Computer Science in Computer Science

University of Delhi (2020 - 2023)

Languages: English, Hindi
Email: Locked