My Stack
Experience
2 positions listed chronologically.
- Developed UI for AI course platform using Next.js, TypeScript, Tailwind; improved engagement for 50K+ learners.
- Implemented course catalog, auth flows, dashboards; replaced hardcoded data with Graphy's API, boosting page load by 30% via SSR and code splitting.
- Integrated Graphy's REST APIs for real‑time course data and learner progress tracking.
- Architected full-stack app with Next.js 15, Prisma, NextAuth; secured sessions and complex DB relations.
- Integrated Twilio SMS, QR codes, Zod validation; cut data errors by 40%.
- Built UI with Radix UI, Framer Motion; optimized API with Turbopack and Server Actions.
Open Source Contributions
2 projects listed.
- Fixed core issues across desktop, mobile, and sync engine – merged and approved PRs in a 54K+ stars repo.
- Collaborated directly with maintainers on a large‑scale real‑world codebase (React, Electron, Node.js).
- Reported and proposed fix for dropdown visibility issue on sign‑up page (Issue #6906) – options were cut off due to improper positioning.
- Suggested using a portal, adding max‑height with scroll, and dynamic flip behavior to keep dropdown within viewport.
Featured Projects
8 projectsShowing 8 featured projects. Click on any project card to view details.
Building From Zero
I build from zero. Whether it's AI applications, full-stack platforms, or real-time systems, I work across the entire development lifecycle. From computer vision models to production deployment, I focus on creating functional, user-focused applications that solve real problems.
Education
Harcourt Butler Technical University
Bachelor of Technology • 2023 – 2027
Relevant: DSA, OS, LLD, DBMS, Web Dev
Technical Skills
7 skill categories with 59 individual skills listed.
Languages
Frontend
Backend
AI / Agentic Systems
Database
DevOps & Cloud
Core Concepts
Currently Exploring
Agentic AI Systems
Designing autonomous agents using LangGraph with planning, tool calling, and multi-step reasoning
RAG & Retrieval Systems
Building pipelines with embeddings, vector databases, and semantic search for context-aware AI
LLM Pipelines
Developing structured workflows for transforming natural language into actionable outputs and APIs
Scalable Backend Architecture
Designing modular backend systems with async processing, caching, and high concurrency handling
AI + Backend Integration
Combining LLMs with production systems using FastAPI, Node.js, and real-time APIs
Real-time & Event-driven Systems
Building low-latency systems using WebSockets and event-driven architectures








