Designed and developed a responsive e-commerce platform for a campus-based startup. Helped the startup to increase the number of customers by 15%. Used Firebase for proper authorization and authentication.

Created a full-stack blogging platform with secure Google Sign-In using Firebase Authentication. Tested with 10 users and updated the website based on their feedback.

Created an immersive web platform using NASA's open APIs to let users explore space-related images, rovers, and daily astronomy content. Implemented search and filtering with real-time data fetching, enhancing educational engagement.

Built a multimodal Retrieval-Augmented Generation (RAG) system for academic notes that allows querying across text and images using embeddings and vector search. Designed to improve information retrieval accuracy and study efficiency.

Built a machine learning model to predict customer churn using logistic regression and decision trees. Achieved an accuracy of 80% using logistic regression and 74% via decision trees.

Built a machine learning system to predict the complexity level of source code based on extracted features such as lines of code, loops, and conditional statements. Designed to help developers identify potentially hard-to-maintain code early in the development cycle.

Built an ongoing repository implementing major data structures and algorithms in C++. Still expanding it as I explore new topics like trees, graphs, and dynamic programming.

Maintaining a categorized list of solved problems from the CSES Problem Set. Solved problems across Introductory problems, graphs, sorting and searching.