Building AI-powered software that transforms complex ideas into intuitive products.
I design and ship scalable web applications, AI-driven tools, and developer products — from architecture to the last pixel.
The path here, not just the résumé.
I build production-grade software at the intersection of modern web engineering and applied AI — scalable Node.js backends, pixel-precise React interfaces, and AI features that feel native rather than bolted on.
- 01
Learning
2023 — presentStarted a Computer Science degree and went deep on fundamentals — data structures, algorithms, and the core mechanics of the web. Solved 400+ DSA problems across LeetCode and GeeksforGeeks to build real problem-solving instinct, not just syntax fluency.
- 02
Projects
2024 — presentMoved from tutorials to shipping. Built and open-sourced React component libraries, contributed 20+ pull requests to community tools, and started treating every side project like a real product with users, not just a code exercise.
- 03
Hackathons
2025Competed in hackathons including Smart India Hackathon, reaching finals . Learned to design, build, and pitch a working product in 24-48 hours — a skill that still shapes how fast I scope and ship today.
- 04
Current Focus
NowBuilding TraceLens AI, a developer tool that uses AI to make any codebase understandable in minutes — combining everything I've learned about AI integration, product design, and full-stack architecture into one flagship product.
- 05
Future Goals
NextLooking for internships, freelance partnerships, or an early-stage team where I can own product surface area end-to-end — applying AI to real workflows, not just adding a chatbot to an existing app.
A toolkit shaped by shipping, not certificates.
Every category below has at least one production app behind it.
Frontend
Interfaces that feel inevitable, not assembled.
- React
- Next.js
- TypeScript
- Tailwind CSS
- Framer Motion
- Shadcn UI
- GSAP
Backend
Services built to hold up under real traffic.
- Node.js
- Express.js
- REST APIs
- WebSockets
- JWT Auth
- Microservices
AI
AI woven into product flows, not bolted on top.
- OpenAI API
- FastAPI
- LangChain
- Whisper ASR
- RAG Systems
- Vector DBs
Databases
Data modeled once, queried with confidence.
- MongoDB
- MySQL
- Redis
- Prisma
DevOps
Shipping pipelines that don't get in the way.
- Docker
- AWS S3
- Vercel
- CI/CD
- Linux
Tools
The daily kit behind every shipped feature.
- Git / GitHub
- VS Code
- Figma
- Postman
- Cursor AI
Products, not just repositories.
Every project below shipped to real users — not a tutorial clone.
TraceLens AI
Understand any codebase in minutes, not days.
Problem
Onboarding onto an unfamiliar repository is one of the slowest parts of software work. Engineers lose days cloning, grepping, and reading code just to build a mental model of how a system fits together — before they can ship a single line.
Solution
TraceLens AI turns a GitHub URL into an instant, navigable understanding of the codebase. Paste a repo link and the platform analyzes structure, generates a plain-language overview, scores repository health, and lets you ask questions that are answered directly from the actual source — not generic guesses.
- Instant repository analysis — paste a URL, get a structural breakdown in seconds
- AI-generated overview: project type, tech stack, core workflows, health score
- Interactive file explorer with AI-written summaries per file
- Auto-generated architecture diagrams showing how components connect
- Repository chat grounded in real code, not generic LLM answers
- Persistent workspaces — resume any analyzed repo where you left off
Vakta AI
Voice-first AI for transcription and live Q&A.
Problem
Teams capture huge amounts of spoken information — meetings, lectures, interviews — that's expensive to transcribe accurately and even harder to query afterward, especially across languages.
Solution
Vakta AI is a voice assistant and transcription SaaS that converts speech to text in real time and lets users ask follow-up questions directly against the transcript, with native multi-language support.
Impact — Secured ₹50K in seed funding to develop the product further
Blog-Tech
A writing platform built for developers.
Problem
Most blogging platforms either compromise on code presentation or bury writers in unnecessary complexity, making it harder than it should be to publish clean, technical content.
Solution
Blog-Tech is a developer-focused publishing platform with a rich markdown editor, accurate syntax highlighting, and AI-assisted writing suggestions — built for a fast, distraction-free reading and writing experience.
Impact — Deployed as a fully working full-stack reference product
Shoply
Commerce infrastructure tuned for conversion.
Problem
E-commerce storefronts often trade off performance for features — slow product discovery, generic recommendations, and inventory drift between storefront and warehouse all cost real revenue.
Solution
Shoply is a high-performance e-commerce platform with AI-driven product recommendations, real-time inventory management, and a Stripe-powered checkout, built with conversion as a first-class metric.
Impact — 40%+ conversion optimization over baseline storefront flow
Where the work actually happened.
Click a role to expand what shipped.
- 01
May 2026 — Present
- Built an AI-powered platform that analyzes GitHub repositories and generates architecture diagrams, code summaries, and onboarding documentation.
- Developed the application using Next.js, React, Node.js, MongoDB, Tailwind CSS, and LLM APIs.
- Implemented repository analysis, AI-powered insights, and interactive visualizations to improve developer onboarding.
- 02
- 03
Numbers that took years, not a weekend.
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Problems Solved
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GitHub Contributions
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Projects Built
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Technologies Used
The proof is still being written.
Every project above shipped to real users — the words from the people behind them are next.
First client testimonial — reserved for the next collaboration that ships.
This space is earned, not filled. Check back soon.
Mentor and founder feedback will land here as new work goes live.