Currently pursuing Master of Computer Applications (MCA) at Manipal University, with a focus on backend development and cloud technologies.

Acquired proficiency in general-purpose programming languages such as C and C++, as well as web development languages including HTML, CSS, and JavaScript. Developed a project using C# to further enhance programming skills. Gained a comprehensive understanding of computer fundamentals and the inner workings at a low level.

Participated in a 24-hour hackathon at MNIT Jaipur, where I collaborated with a team to develop a blood donation solution that secured third place. This experience enhanced my skills in teamwork, problem-solving, and rapid application development under time constraints.

In this Hackathon, we build a Blood Donation solutions to make the donation process more attractive and convenient for the Donators which can encourage more people to donate blood. We used reactjs for Frontend and Golang for Backend. I was responsible for working on the Backend where worked on implementing a basic authentication system using JWT and a reward system for the Donators.

Participated in MUJ Hack 9.0, a 3 day hackathon organized by Manipal University Jaipur, where I collaborated with a team to develop a web application with AI integration that secured third place. This experience enhanced skills such as working with AI model, Prompt Engineering and developing backend applications in Go with Gin Framework.

In this Hackathon, We built a web application to help students in focus on their studies without switching between multiple apps. We self hosted Meta's Llama 3 8B model to build a chatbot interface for the students where they could ask their queries regrading a specific topic. We also used the same AI model to generate MCQ questions regarding the topic that student is learning about previously. I was responsible for Backend where i worked on the interface between AI Model and the Webapp. I also did prompt engineering for generating test with proper format so the answer can be evaluated by system automatically.