Yash Rathi
Full-Stack & AI Engineer
Building Scalable Applications
and AI-Driven Solutions
Some of my best works
Deadcode Detective
A multi-language CLI that detects and removed 10-20% unused code in JS, TS, and Python projects, streamlining cleanup for developers.
MindVault - AI Bookmarker
Built an AI-powered bookmark manager that enabled natural language search and auto-categorization, enhancing bookmark discovery during a hackathon project.
Soccer Analysis YOLO
Developed a YOLO-based computer vision system to detect and track soccer players in real-time, enabling movement analysis and sports insights.
BitTorrent Client
Built a custom BitTorrent client in Python that enables efficient peer-to-peer file sharing by implementing torrent parsing, peer communication, and multithreaded piece management.
What I am skilled at
My Research Highlights
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Wheat Awns Detection
2021 8th International Conference on Smart Computing and Communications (ICSCC)
Yash Rathi, Movva Nitin Datta, Aswathy K. Cherian
Improving Image Resolution on Surveillance Images Using SRGAN
Lecture Notes in Networks and Systems, vol 204. Springer, Singapore. Scopus Indexed.
Rathi, Y., Cherian, A.K., Poovammal, E.
Wheat Heads Detection using Deep Learning Algorithms.
Annals of the Romanian Society for Cell Biology
Yash Rathi, Datta, Movva Nitin and M. Eliazer
A little about me
I'm a software engineer who builds scalable systems and AI-powered applications. I spent three years at Optum optimizing enterprise infrastructure for 100,000+ users, leading projects that significantly improved deployment efficiency and system performance. Currently pursuing my MS in Computer Science at SUNY Buffalo, focusing on computational linguistics and large language models. My work bridges enterprise software development with cutting-edge AI research. I'm passionate about clean code, system optimization, and building products that make a real impact. Always excited to collaborate on interesting projects.
MS Computer Science
State University of Buffalo
2024-2026
Pursuing a research-focused Master's degree with coursework spanning the full spectrum of modern CS: Algorithms, Parallel & Distributed Computing, Machine Learning, Deep Learning, Computational Linguistics, Computer Vision, and Information Retrieval.
Software Engineer
Optum - UnitedHealth Group
2017-2021
My first professional role where I learned to build software at scale in a collaborative environment. Developed enterprise systems serving 100,000+ users while working alongside talented engineers, product managers, and designers. I spearheaded a CI/CD migration from Jenkins to GitHub Actions that cut build times from 45 to 18 minutes and improved deployment efficiency by 40%. This experience taught me that great software isn't just about code it's about understanding user needs, working collaboratively, and continuously finding ways to make systems better.
BS Computer Science
SRM University
2013-2017
My first formal dive into Computer Science, where I got introduced to full-stack development and AI through hands-on projects and exploration. I spent my time building things, breaking things, and figuring out how to fix them, working on multiple projects, hosting workshops for peers, and competing in hackathons. Graduated with a 9.22/10 GPA, but more importantly, left with the foundation and curiosity that led me to enterprise software development and eventually graduate-level AI research.
A little more about me
