About
I’m a Computer Science undergraduate passionate about full-stack and backend development. I enjoy building scalable web applications, solving real-world problems, and continuously learning new technologies. My core skills include React.js, Node.js, Express.js, MongoDB, JavaScript, and Python. I’ve built projects like NeighborsFit, an AI-powered property recommendation platform, and Reels-Zomato, a full-stack web application with authentication, REST APIs, and AI-powered features. Along with development, I also have experience with Docker, GitHub Actions, AWS EC2, and CI/CD workflows. What makes me unique is my ability to quickly adapt, learn independently, and focus on building practical, user-focused solutions. I enjoy working in fast-paced environments, collaborating with teams, and taking ownership of my work. I’m currently looking for opportunities where I can contribute meaningfully, grow as a developer, and work on impactful products.
Skills & Expertise (29)
Work Experience
Full Stack Developer
ReelZomato
Oct 2025 - Present
Engineered a full-stack web application using React.js and Node.js combining short-form food reels and restaurant discovery with optimised rendering and lazy loading across 20+ UI components. Architected RESTful APIs using Express.js with JWT authentication and MongoDB indexed schemas reducing API response time by 35%. Integrated OpenAI GPT API for AI-generated captions, personalised recommendations, and content moderation reducing manual review workload by 70%. Configured CI/CD pipelines using GitHub Actions automating build and deployment workflows reducing deployment time by 40%.
Full Stack Developer
AyurSutra
Jan 2026 - Mar 2026
Engineered a MERN-based healthcare platform for patient registration, appointment scheduling, therapy tracking, and medical record management. Implemented JWT-based RBAC supporting secure workflows for Admins, Doctors, and Patients with route-level authorisation. Designed MongoDB data models and aggregation queries enabling efficient dashboard reporting across multi-entity records. Developed RESTful APIs supporting CRUD operations for patient and appointment management deployed on Vercel.
Full Stack Developer
NeighboursFit
Jul 2025 - Sep 2025
Developed a MERN application with an AI-powered recommendation engine improving property match accuracy through GPT-generated summaries and natural language search. Built a conversational chatbot assistant using OpenAI API reducing property search time by 50% with context-aware responses. Containerised the application using Docker with CI/CD pipelines via GitHub Actions maintaining 99.9% uptime across environments. Designed RESTful APIs and MongoDB aggregation pipelines handling 5,000+ property listings with sub-200ms query response times.
Education
B.Tech – Computer Science and Engineering - Lovely Professional University
2022 - 2026 · India
Intermediate - Adarsh Public School
2020 - 2021 · India
Matriculation - Adarsh Public School
2018 - 2019 · India
Certifications
Project Management
Coursera · 2026
Modern DevOps: Foundations to Observability
· 2025
Data Structures and Algorithms
Coursera · 2025
Cloud Computing
NPTEL · 2024
Complete Interview Preparation (C++)
GFG · 2024
Programming in C++
Coursera · 2024
Interested in this developer?
Profile Score Breakdown
Profile Overview
Availability Details
Visa Status
Citizen
Relocation
Open to Relocation
Skills (29)
Click a skill to find developers with the same skill
