Frontend / Full-Stack Engineer focused on building scalable, performance-driven web applications with strong UX and clear business impact.
I primarily work with React, Next.js, and TypeScript, and I’ve shipped products across web, PWA, and mobile in both solo-owner and collaborative environments.
I have 3+ years of experience building and maintaining production applications, with a strong emphasis on:
- frontend performance optimization (SSR, ISR, caching, code splitting)
- offline-first architectures for low-connectivity environments
- scalable component systems and design consistency
- internationalization (i18n) and accessibility
- pragmatic use of AI tools to improve developer efficiency
I value clarity, maintainability, and measurable outcomes over unnecessary complexity.
- Building AI-assisted education products at Shikha Learning Labs
- Designing offline-first PWAs used in real-world classroom environments
- Improving frontend performance and reliability at scale
- Writing about frontend engineering and real product lessons
- React, Next.js, React Native
- TypeScript, JavaScript (ES6+)
- Tailwind CSS, shadcn/ui
- Node.js, Express
- PostgreSQL (Supabase), MongoDB, Firebase
- REST APIs, OAuth
- Jest, React Testing Library, Cypress
- Docker, GitHub Actions, Vercel, Google Cloud Platform
- AI-assisted development using Cursor, Codex, and Antigravity
(used for prototyping, refactors, and test scaffolding — not as a replacement for design or engineering judgment)
Nov 2024 – Present
- Frontend owner for AI-driven education platforms used by teachers across 50+ schools
- Built offline-first PWA and Android app for low-network environments
- Reduced classroom evaluation workflows from 1 hour to 5 minutes
- Delivered multiple production applications with zero critical bugs
May 2023 – Sep 2024
- Optimized an OTT platform serving 50k+ monthly users
- Improved page load times by 70% using advanced Next.js rendering strategies
- Contributed to a React Native app resulting in 15% retention improvement
👉 Full experience details:
Resume: https://drive.google.com/file/d/1dXCSi_ufn4W0W9mrIpKgU_w9ONNmqsWF/view
AI-powered tool for generating context-aware LinkedIn hashtags.
-
Built with Next.js, TypeScript, and Gemini Flash
-
2.1s average response time, 99.9% uptime
-
Serving real users with production monitoring
-
GitHub: https://github.com/Saurav02022/linkedin-hashtag-refresh-engine-app
-
Live: https://ai-linkedin-hashtag-refresh-engine-app.vercel.app
Decentralized NFT marketplace on Algorand TestNet.
-
Frontend contributor via Social Winter of Code (SWOC)
-
Implemented persistent theming and UI interaction improvements
-
Worked within a multi-contributor open-source codebase
-
Live (TestNet): https://algo-fi.vercel.app
I write about frontend engineering, performance, and real-world product lessons on dev.to:
Topics include:
- Next.js performance strategies
- frontend architecture decisions
- productivity without sacrificing code quality
- LinkedIn: https://www.linkedin.com/in/saurav02022
- Portfolio: https://saurav02022-portfolio.vercel.app
- Email: sk729584@gmail.com
Focused on building reliable products and continuously improving engineering practice.


