Hi, I'm Naman 👋
Full‑stack engineer and prolific open-source contributor (250+ merged PRs) specializing in React & Next.js with strong backend expertise in Go and Node.js. Experienced in building production-ready applications, implementing TypeScript migrations, and deploying scalable infrastructure with Docker and Kubernetes.
NJ

About

I'm a B.Tech student at Netaji Subhas University of Technology (NSUT), Delhi, with extensive hands‑on experience in full‑stack development through open source contributions, internships, and production deployments.

What I Focus On

  • Scalable frontends (Next.js 13/14 app router, React server components, edge-friendly patterns)
  • Type‑safety & reliability (TypeScript-first design, progressive refactors, strict ESLint)
  • API & backend architecture (Node.js, Go microservices, MongoDB, PostgreSQL + Prisma, caching & observability)
  • DevOps & delivery (containerization, CI/CD with GitHub Actions, Docker/K8s based reproducible environments)
  • Test strategy (unit, integration, E2E using native Node test runner, Playwright)

Work Experience

T

The Linux Foundation - CNCF KubeStellar
Remote

Sep 2025 - Nov 2025
Mentee - LFX Mentorship Program
Built a production-ready, interactive documentation site using Next.js (Nextra) and Tailwind CSS, creating a unified design system and improving developer onboarding. Enhanced performance and accessibility by implementing WCAG-compliant design, immersive animations, and responsive components for seamless cross-device experience. Deployed the platform on Oracle Cloud Infrastructure (OCI) with Docker and CI/CD pipelines, ensuring scalability and security.
C

CNCF KubeStellar
Remote

Jun 2025 - Aug 2025
Software Engineer Intern
Architected and implemented the complete internationalization (i18n) framework, making the UI globally accessible with initial support for French and Spanish. Designed backend APIs in Go for a new plugin system and increased backend reliability by writing comprehensive unit tests. Enhanced UI/UX by implementing key features including theme switching, a language switcher, and client-side search to improve platform usability.
G

Google Summer of Code (Jitsi)
Remote

May 2025 - Aug 2025
GSoC Mentee
Migrated the core lib-jitsi-meet codebase from JavaScript to TypeScript, enforcing strict typing and reducing runtime errors. Improved code maintainability by unifying type definitions, enhancing IDE support (autocomplete, static analysis), and streamlining developer workflows. Enhanced documentation with accurate TypeScript typings and Typedoc integration, eliminating reliance on manual type maintenance for external users.

Skills

Go
C++
JavaScript
TypeScript
React
Next.js
Nextra
Tailwind CSS
Node.js
Go APIs
PostgreSQL
Express.js
REST
MongoDB
MySQL
Prisma
Python
FastAPI
PyTorch
Streamlit
OpenAI CLIP
Pinecone
Docker
Kubernetes
Oracle Cloud
CI/CD
Postman
GitHub Actions
Git
Go (testing)
Playwright
Node.js Native Testing
Jest
My Projects

Check out my latest work

I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.

Scene Sense: AI-Powered Natural Language Image Search Platform

Built an AI-driven platform enabling semantic image search through natural language queries, eliminating manual tag-based browsing.Integrated OpenAI CLIP embeddings with Pinecone vector search to deliver real-time image retrieval across large datasets.Implemented secure multi-user architecture using FastAPI, MongoDB, JWT authentication, and GCP cloud storage with a modern Streamlit UI.

FastAPI
Streamlit
PyTorch
OpenAI CLIP
Pinecone
MongoDB
GCP
JWT
Docker

VisionGrid AI: Dense Object Detection System

Developed a production-ready dense object detection framework using YOLOv5x, achieving 92.2% mAP@50 and real-time performance of 30+ FPS on the SKU-110K dataset.Engineered advanced post-training quantization (FP16/INT8), reducing model size by 75% (329MB → 83MB) with minimal accuracy loss (<1%), enabling deployment on edge devices.Built multi-format deployment pipeline supporting PyTorch, TensorFlow, ONNX, and TFLite for scalable integration across cloud and edge hardware environments.

PyTorch
TensorFlow
YOLOv5
TFLite
ONNX
CUDA
Streamlit
Achievements

Highlights

A quick snapshot of recognitions & milestones.

  • Maintainer - CNCF KubeStellar2025 - Present

    Manage community contributions, conduct code reviews, mentor contributors, and oversee development workflow; reviewed and merged 200+ PRs.

  • Prolific Open Source Contributor2024 - Present

    Merged over 250 Pull Requests across various open-source projects, including significant contributions to CNCF KubeStellar and Jitsi, demonstrating a strong commitment to community-driven development and code quality.

Contact

Get in Touch

Want to chat? Reach out viaGitHub or send an email. I'll respond when I can.