I have previously worked at Atlassian and Micro Focus, and currently, I am a graduate student pursuing Computer Science at San José State University. My areas of interest include Software Engineering, Machine Learning, and Enterprise Systems.
Typically, I love learning about new technologies related to Computer Science.
Below, you will find links to project demos, applications, and GitHub repositories for my projects based on Software Engineering and Machine Learning.
A versatile application using Next.js and OpenAI, capable of fetching precise answers
A web application to track expenses. Built using HTML, CSS, Flask, and MongoDB.
A Next.js and Firebase based app that enhances overall household management and reduces grocery costs
A smart mobile application designed to optimize email communication by tracking recipient engagement, and ensuring timely follow-ups.
A Next.js chat application that leverages LlamaIndex to generate knowledge graphs for any term, enabling users to receive accurate, context-based responses to their queries.
A system with user reviews and connections’ data, to recommend restaurants based on Yelp dataset. Built using Python, Collaborative filtering, link prediction, and GraphRec.
An ML system built using an e-commerce dataset to identify fake reviewers. Built using Python, Hadoop, and OpenRefine.
Co-authored a paper titled 'Survival Analysis for Cancers of the Brain, CNS and Bone using Retrieval Augmented Generation on the SEER Database' and presented it at the AAAI Spring Symposium 2025 (AI for Health). Paper will be published soon.
Our work on cancer survival analysis was accepted for presentation at the 8th Annual Stat4Onc Symposium, held at the Stanford University School of Medicine.
Grad Slam is a competition where graduate students present their research to a live audience and a panel of judges.