About Me
Most developers build projects. I build things that place. With 3x national hackathon finishes — including 3rd and 4th at GeeksforGeeks Vision X and GDG Lucknow APL, and a Top 5 finish at HackIndia Spark 6 (NIT Delhi) — my work has been stress-tested against real competition, tight deadlines, and industry judges. That's a different kind of signal.
I work deeply across the full stack, utilizing React, Next.js, Node.js, Express, MongoDB, and PostgreSQL (via Prisma) backed by powerful state management and data fetching tools like Redux Toolkit, TanStack Query, and Tailwind CSS. I combine this with a strong DSA foundation in C++ to ensure everything I build is optimized and structurally sound.
If you need someone who has already proven they can ship something worth ranking, I am currently open to full-stack internship roles where I can bring this same competitive edge to your team.
Download ResumeProjects Built
LeetCode Problems Solved
Gamer
Learning From them
Skills & Technologies
Technologies I use to build modern, responsive, and scalable web applications.
Experience & Learning
A journey of continuous learning through hands-on projects, practice, and real-world problem solving.
4th Position – Agentic Premier League by GDG Lucknow
- Secured 4th place out of numerous competitive teams in an AI-agent-focused nationwide hackathon
- Developed 'AwadhLease', an autonomous property management platform featuring end-to-end tenant onboarding
- Engineered smart AI workflows for automated PG maintenance tracking, issue categorization, and landlord-tenant portals
HackIndia Spark 6 – NIT Delhi
- Achieved a Top 5 ranking out of 1,500+ teams nationwide
- Developed an innovative high-performance solution under intense competition
- Collaborated with a technical team to architect and deploy a production-ready MVP
2nd Runner Up – GFG VisionX Hackathon
- Secured 3rd place in a national-level hackathon with project 'OrbionX'
- Developed an AI-powered satellite tracking platform using React and Three.js
- Implemented complex 3D visualizations and real-time geospatial data rendering
Full Stack Web Development
- Building scalable full-stack applications using MERN stack, Next.js, and TypeScript
- Developing secure RESTful APIs, authentication (JWT/OAuth), and cloud databases
- Optimizing frontend performance with tools like Redux Toolkit, Zustand, and TanStack Query
Frontend Developer – MLCOE
- Leading frontend initiatives for the Machine Learning Centre of Excellence
- Building high-performance dashboards like Admin Portal and the society's official web platform
- Collaborating with cross-functional teams to integrate AI models with seamless UIs
Education & Learning
My academic background and the learning paths I’ve followed to build a strong foundation in software development.
Bachelor of Technology (BTECH)
AJAY KUMAR GARG ENGINEERING COLLEGE (AKGEC)
Currently pursuing BTECH with a focus on computer science fundamentals, programming concepts, and application development. Alongside academics, I actively build projects and practice DSA.
UNIVERSITY : DR APJ ABDUL KALAM TECHNICAL UNIVERSITY
Full Stack Web Development
Self-Taught & Project-Based Learning
Mastered the MERN stack (MongoDB, Express, React, Node.js) and Next.js through rigorous hands-on projects. Specialized in RESTful APIs, modern UI libraries like Tailwind, and scalable system architecture.
Real-world projects and robust backend engineering
Courses & Certifications
- ▹2nd Runner Up — GFG X VisionX (HACKATHON) , 650+ teams from all over Delhi Ncr .
- ▹4th Position — APL x GDG Lucknow(HACKATHON) , 600+ teams from all over Uttar Pradesh.
- ▹Top 5 — NIT DELHI x Hackindia spark 6 (HACKATHON) , 1800+ teams from top colleges like IIT , NIT , IIIT .
- ▹Next.js — Chai aur code cohert course
Featured Projects
A showcase of my selected work
TalentLoop - A redefined job portal
TalentLoop is a robust, full-stack recruitment ecosystem designed to streamline the hiring process for both recruiters and job seekers. Built with the MERN stack (MongoDB, Express, React, Node.js), it emphasizes scalability, security, and a seamless user experience.The platform solves the complexity of modern hiring by providing a dual-interface system. Job Seekers can manage professional profiles, upload resumes, and track application statuses in real-time, while Recruiters can manage company branding, post job openings, and review applicants through a dedicated dashboard.
Game Recommender - Ml model based smart game recommender
GameRecommeder is an intuitive web-based platform designed to help gamers discover their next favorite title with ease. Built using React, this application provides a sleek and responsive user interface for navigating game suggestions. Originally developed as the final capstone project for the Machine Learning Center of Excellence (MLCoE), it serves as a sophisticated bridge between data-driven recommendation logic and a seamless front-end experience, making game discovery both efficient and engaging
Synapse - Multi LLM's at one place
Synapse is a full-stack AI chat application that lets users converse with multiple large language models through a single, unified interface.
AwadhLease - AI-Powered Property Management for Lucknow Landlords
AwadhLease is a full-stack AI-powered rental marketplace and property management ecosystem built for landlords, PG owners, tenants, and property managers across Lucknow
Get In Touch
Have a project in mind? Let’s work together to create something amazing.