Frontend Platform & Performance Engineer building scalable frontend platforms, performance-critical web applications, and AI-assisted developer tooling.
I enjoy solving engineering problems at the intersection of frontend architecture, performance engineering, distributed systems, and AI.
- π Frontend Architecture
- βοΈ React & TypeScript Ecosystems
- β‘ Performance Engineering & Core Web Vitals
- π Server-Side Rendering & Hydration
- π¦ Build Systems & Developer Experience
- π Frontend Observability & Telemetry
- π€ AI-assisted Engineering Workflows
Lead Frontend Engineer @ Info Edge (Shiksha)
Working on one of India's largest education platforms, focused on designing scalable frontend systems and improving real-world user experience.
Some of the engineering initiatives I've led include:
- Improving Core Web Vitals by reducing interaction latency across high-scale production pages.
- Redesigning Webpack build caching to reduce production deployment time from ~30 minutes to ~3 minutes.
- Designing a reusable Critical CSS generation pipeline for server-rendered applications.
- Building frontend telemetry systems for real-user performance observability.
- Architecting reusable rendering abstractions to simplify framework evolution.
Automated extraction and injection of above-the-fold CSS for SSR applications.
Focus
- Performance Engineering
- Core Web Vitals
- AST Processing
- Next.js
- PostCSS
Runtime configurable micro-frontend platform.
Focus
- Module Federation
- React
- TypeScript
- Next.js
- Distributed Frontends
CLI that converts large codebases into structured, token-efficient context for AI coding assistants.
Focus
- AI Engineering
- AST Parsing
- CLI Development
- Context Engineering
Compatibility layer enabling framework-independent React applications across SSR and SPA environments.
πΉ Mini Search Engine
Offline crawler implementing PageRank-based ranking and indexing.
Full-stack weather application using Backend-for-Frontend architecture.
I believe engineering is a continuous journey.
Current areas of focus:
- Backend System Design
- Distributed Systems
- Kubernetes
- Cloud Architecture
- LLM Engineering
- Retrieval-Augmented Generation (RAG)
- Agentic AI Systems
I enjoy documenting engineering problems and design decisions.
Upcoming topics include:
- Reducing INP at Scale
- Critical CSS Generation
- SSR & Partial Hydration
- Module Federation in Production
- Webpack Build Optimization
- AI Context Engineering
TypeScript β’ JavaScript β’ Python
React β’ Next.js β’ Redux β’ Zustand β’ Tailwind CSS
SSR β’ Hydration β’ Module Federation β’ Monorepo β’ Design Systems
Core Web Vitals β’ Lighthouse β’ Webpack β’ Bundle Optimization
Node.js β’ FastAPI β’ GraphQL β’ REST
Docker β’ GitHub Actions β’ Jenkins β’ Turborepo β’ pnpm
Great software isn't built by adding more code.
It's built by making systems simpler, faster, easier to evolve, and easier for other engineers to work with.
I enjoy designing systems that balance performance, maintainability, and developer experience.
π Portfolio
https://aditya-nath-suman-portfolio.vercel.app
πΌ LinkedIn
https://linkedin.com/in/adityanathsuman
π§ Email
β If you find my projects interesting, feel free to connect or collaborate.