Frontend Engineer at Amdocs | DTU '23 | Building performant UIs at scale
- ~3 years building large-scale React/TypeScript applications in the telecom domain at Amdocs, Pune
- B.Tech in Information Technology from Delhi Technological University (2023)
- Passionate about design systems, web performance, build tooling, and mentoring
- Currently exploring AI-powered tooling and full-stack Next.js
Languages
Frontend
Backend / Data
AI
Tooling
|
AI-powered resume parser and themed portfolio builder with built-in analytics. Upload a PDF/DOCX, let Gemini extract structured data, edit in a WYSIWYG UI, and publish with multiple themes.
|
Lightweight npm component library with ~96% test coverage. Ships ESM and CJS builds with semantic versioning and full Storybook documentation.
|
Key impact at Amdocs (click to expand)
- Micro-frontend PoC -- Evaluated iframe vs single-spa vs Webpack Module Federation; the chosen architecture enabled independent deployability and ~40% faster module builds
- Data layer redesign -- Introduced a Map-based single source of truth, reducing data-sync production bugs by ~99%
- Advanced search optimization -- Reduced unnecessary API calls by ~82% (from ~12k to ~2.1k calls/week)
- JSON-driven dynamic forms -- Built a config-driven form system with interdependent fields, cascade resets, and circular-dependency detection
- Legacy migration -- Incrementally moved 55%+ of class components to functional React with hooks
- Shared UI library -- Enhanced core components (portal-based tooltips, etc.), contributing to a 12% reduction in UI bugs across consuming teams
