Final Year CSE Student @ CBIT | Former QAE Intern @ Amazon
I’m a full-stack developer passionate about building scalable systems, intuitive user interfaces, and intelligent automation tools. From designing robust REST APIs and integrating modern frameworks to developing internal dashboards and performance tools, I focus on creating impactful, real-world solutions. Recently, I built an internal dashboard at Amazon and an AI-powered resume analyzer.
Languages: JavaScript, TypeScript, Python, Java
Frontend: React, Next.js, Tailwind CSS, Redux, Zustand
Backend: Node.js, Express, Prisma, REST APIs, PostgreSQL, MongoDB
DevOps/Tools: Docker, GitHub Actions, JWT, Postman
A web application resume optimization tool where users can upload resumes and receive AI-generated feedback tailored to job titles, companies, and job descriptions. Features real-time PDF preview, analysis history, and personalized suggestions to boost ATS score and job readiness.
- Stack: React, TypeScript, Tailwind CSS, Zustand, Vite
- Includes: AI-driven feedback engine, real-time PDF rendering, and resume scoring
A full-stack course platform enabling tutors to create, manage, and monetize courses. Includes role-based dashboards, JWT authentication, Razorpay integration for payments, and Cloudinary for media uploads.
- Features: Secure auth, course tracking, filtering, and responsive UI
- Stack: React, Node.js, Express, MongoDB, Prisma
Dynamic event listing platform with city-based routing and real-time pagination. Built using Next.js App Router and PostgreSQL, it features SSR optimization, Zod form validation, and Prisma-based data handling.
- Tech: Next.js, TypeScript, Prisma, PostgreSQL, Tailwind CSS
React-based Q&A platform with real-time hashtag filtering. Users can post, view, and interact with questions in real-time. Zustand is used for global state, ensuring smooth dynamic UI updates with minimal re-renders.
Responsive frontend app simulating a food delivery interface. Includes cart management, shimmer UI, filtering options, and dark/light modes.
- Tech: React, Redux, Tailwind CSS, React Router
Machine Learning powered Streamlit app for real estate price prediction and property recommendation. Trained using scikit-learn and deployed via AWS for accessible, real-time predictions.
- 🥇 1st Place – PyStar Coding Contest (100+ participants)
- Finalist – JP Morgan Chase Code for Good Hackathon
- Interned @ Amazon – Built test automation dashboard used by multiple internal teams
- Stanford Machine Learning – DeepLearning.AI (Coursera)
- Postman API Student Expert
“I believe in building systems that are not only functional, but scalable and delightful to use.”
— Let's connect and build something meaningful!