Yash Rathi

About

👋 Hi, I'm Yash Rathi, a passionate Full Stack Developer 🖥️ with a special interest in frontend development. I love bringing ideas to life through code and creating seamless user experiences.

🎓 Currently pursuing my Master's in Computer Science at University at Buffalo.

💻 When I'm not crafting web applications, you'll find me hiking trails 🏞️ or enjoying various sports 🏀⚽. I believe in balancing technology with an active lifestyle.

🚀 Welcome to my portfolio, where innovation meets functionality!

SKILLS

Blog

Projects

Deadcode Detective

CLI tool to detect and report unused code in JS, TS, and Python projects.

TypeScript, Node.js, Python

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Inspired by code cleanup chaos in big codebases, I built Deadcode Detective to hunt down unused code in multi-language projects. Key features:

• Multi-Language Support: Scans JavaScript, TypeScript, and Python codebases.
• Fast Detection: Identifies dead functions, variables, and exports in seconds.
• Colorful Reports: Outputs clear, actionable results with file and line details.
• Extensible: Built with future CI/CD integration and JSON/HTML reports in mind. (Coming Soon)

This project showcases my skills in CLI development, integrating third-party tools (`ts-prune`, `vulture`), and solving real-world developer pain points with a user-friendly solution. Slashed 10-20% of unused code in test projects! The library has hundreds of downloads on npm.

Code NPM

MindVault - AI Bookmarker

AI powered bookmark manager to organize and search saved bookmarks.

React, Python Flask, HuggingFace

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In this hackathon project, we developed a chrome extension which revolutionises bookmark management using AI. Key features:

• AI-Powered Search: Quickly find bookmarks using natural language processing (NLP) techniques.
• Bookmark Categorization:Automatically categorize bookmarks based on their content.
• Tagging System: Add custom tags to your bookmarks for easy organization.
• Responsive Design: Works seamlessly across desktop and mobile devices.

This project demonstrated my ability to integrate AI-driven solutions with modern web technologies, showcasing skills in full-stack development, data clustering, and creating user-friendly applications.

Code

BitTorrent Client

A custom BitTorrent client implemented in Python, demonstrating peer-to-peer file sharing capabilities.

Python, Socket Programming, Multithreading

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This project involves the development of a custom BitTorrent client from scratch, showcasing advanced networking and distributed systems concepts. The client implements core BitTorrent protocol features, enabling efficient peer-to-peer file sharing. Key features:

• Torrent Parsing: Ability to parse .torrent files and extract essential metadata.
• Peer Communication: Implements the BitTorrent peer wire protocol for data exchange.
• Piece Management: Efficiently manages downloading and uploading of file pieces.
• Multithreaded Design: Utilizes multithreading for concurrent connections and improved performance.
• Tracker Communication: Interacts with BitTorrent trackers to discover and manage peers.

This project demonstrates proficiency in network programming and protocol implementation, showcasing skills in handling complex data structures and optimizing peer-to-peer communications.

Code

Soccer Analysis YOLO

A computer vision project using YOLO for real-time player detection and tracking in soccer matches.

Python, YOLO, OpenCV, Computer Vision

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This project applies advanced computer vision techniques to analyze soccer matches in real-time. It utilizes the YOLO (You Only Look Once) object detection algorithm to identify and track players on the field. Key features:

• Player Detection: Accurately identifies players in video frames using YOLO.
• Real-time Tracking: Tracks player movements across consecutive frames.
• Performance Analysis: Provides insights on player positioning and movement patterns.
• Video Processing: Handles video input for continuous analysis of match footage.
• Visualization: Generates visual output with bounding boxes around detected players.

This project showcases skills in computer vision, machine learning implementation, and video processing, demonstrating the ability to apply cutting-edge AI techniques to sports analytics.

Code

Publications

All Publications

For a complete list of publications and up-to-date metrics, please visit my Google Scholar profile:

View on Google Scholar

Timeline

• Master of Science in Computer Science (Research Track)

  University at Buffalo - SUNY

  Sep 2024 - Jun 2026 Buffalo, New York

  Master of Science in Computer Science - Research Track at University at Buffalo.

• Software Engineer

  Optum

  Nov 2022 - Jul 2024 Gurugram, Haryana

  As a Software Engineer at Optum, I led full-stack development projects, architected Azure solutions, and optimized CI/CD pipelines, significantly enhancing system performance and deployment efficiency.

  • Developed comprehensive full-stack solutions with a focus on Identity Access Management, adhering to SCIM standards, while mentoring college graduates to foster skill development and knowledge transfer.
  • Designed and deployed Azure architectures, led feature development and product redesigns, and conducted thorough code reviews to maintain high quality standards.
  • Spearheaded the migration from Jenkins to GitHub Actions, resulting in a 40% improvement in deployment efficiency and reducing average build times from 30 to 18 minutes across multiple projects.
• Associate Software Engineer

  Optum

  Jul 2021 - Oct 2022 Hyderabad, Telangana

  As an Associate Software Engineer at Optum, I developed robust full-stack solutions, focusing on user authorization systems and enhancing overall application performance and security.

  • Designed and implemented a role-based user authorization management system for 100,000+ users, significantly improving security protocols and streamlining access control processes.
  • Engineered and maintained high-performance backend and frontend solutions, optimizing user experience and ensuring system reliability across multiple applications.
• Business Leader - Intern

  Corporate Gurukul

  Jan 2021 - Jul 2021 Bengaluru, Karnataka

  As a Business Leader at Corporate Gurukul, I drove business development initiatives and led AI education programs, significantly impacting revenue generation and technology skill development.

  • Designed and executed analytics-driven market research and scenario planning strategies, generating leads that resulted in $20,000 in new revenue.
  • Mentored a team and over 190 school students through a series of Artificial Intelligence workshops, fostering knowledge and skills in emerging technologies.
• Bachelor of Technology in Computer Science Engineering

  SRM Institute of Science and Technology

  2017 - 2021 Chennai, Tamil Nadu

  Bachelor of Technology in Computer Science Engineering at SRM Institute of Science and Technology, Chennai. It was during this period that I immersed myself in the captivating realms of Full Stack Development and Machine Learning, marking the beginning of my research journey.