I'm passionate about development and love exploring cutting-edge technologies.
skilled in building functional user interfaces, robust backends and develop & deploy them scalably. I enjoy working on projects that utilize both front-end and back-end technologies to create seamless user experiences. I excel at designing solutions that are both effective and suited to your individual situation
Completed the IBM SkillsBuild Internship in Front-end Web Development with CSRBOX. Gained hands-on experience, developed strong technical skills, and showcased a self-driven approach to learning. Collaborated with a team to develop a Food Management System, contributing to both the frontend design and development
Currently pursuing Master of Computer Applications (MCA) with a GPA of 9.09/10.00. Expanding my expertise in software engineering, development, and project management
Graduated with a Bachelor's degree in Computer Applications with a GPA of 8.47/10.00, honing my skills in programming, software development, and database management
Completed Intermediate studies with 72% marks, strengthening my foundational knowledge in mathematics, science, and computer science
Developed an anonymous social media application designed specifically for students at IET Lucknow Users can register with their college email, post thoughts, and create various rooms for different discussions Implemented features like nested comments, user authentication, and private rooms Also Implemented github actions CI/CD feature for continuous integration and deployment
A note-taking web app that allows users to create and organize notes securely Implemented JWT-based authentication for secure login and Redux for state management The app is deployed using serverless architecture with Cloudflare Workers
Built a real-time chat application allowing users to create and join chat rooms. Features included instant messaging, notifications, and room-based privacy. Handled real-time communication using Socket.io and managed user data with MongoDB
Created a web tool for optimizing travel luggage using the knapsack algorithm. The user inputs items with weight and value, and the app suggests the most valuable selection that fits within weight limits