Prakhyat Chaube
Software Engineer | Researcher | Full-Stack | AI/ML
Building innovative solutions with over 3 years of experience in full-stack development and AI/ML integration. Committed to delivering high-impact, scalable applications. Actively looking for full-time SDE roles!!!
I’m a passionate and driven Computer Science undergraduate at the University of Texas at Arlington, with hands-on experience in full-stack development, AI research, and backend systems engineering. Through my role as an Undergraduate Research Assistant at the Innovative Data Intelligence Research Lab, I’ve contributed to large-scale data annotation platforms used for machine learning applications, working with technologies like PHP, JavaScript, MySQL, Docker, and GitHub Actions. My interests lie at the intersection of software engineering, automation, and intelligent systems—especially in areas like machine learning, computer vision, and real-time data systems. I thrive in collaborative environments, value clean and scalable code, and approach every project with curiosity and purpose. Whether building research infrastructure or exploring new frameworks, I’m committed to continuous learning, solving real-world problems, and creating solutions that are both technically sound and human-centered.
JavaScript
Python
AWS
Docker
React
Next.js
PostgreSQL
Node.js
GraphQL
Kubernetes
CI/CD
Machine Learning
xv6-Operating System
Implemented system calls for fork, uptime, physical address lookup, and other features such as pipelines and semaphores. Implemented First Come First Serve, Shortest Job First, Round-Robin and Priority-based Scheduling Algorithms, and performed benchmarking based on wait time and execution time. Link to GitHub Code
IDIR Annotate
Developed IDIR data annotation system utilizing PHP for backend logic, JavaScript for dynamic frontend interactions, mySQL for robust data storage, and Bootstrap for responsive UI design. Merged 3 scalable projects seamlessly integrated with a leaderboard for real-time performance metrics tracking and evaluation. Link to Website
TheWordSearchGame
Developed a multiplayer web word search game leveraging Java for backend logic
and WebSockets communication, JavaScript for dynamic frontend and Maven for project management. Implemented
scoring algorithms, leaderboard functionality, and turn-based mechanics to enhance player engagement.
Link to Github Code
Website
Research Assistant & Software Developer @ University of Texas at Arlington
Aug 2024 - Present
Student Technology Assistant @ University of Texas at Arlington
November 2022 - May 2024
Software Engineering Fellow @ Headstarter
July 2024 - August 2024
Bootstrapping a Production-Grade JS Stack
Why I chose Next.js, Express, Prisma, Supabase, and set up CI/CD, Docker, and strict TS monorepo for quality engineering from day one.
Real-Time Collaboration with Socket.IO
Engineered collaborative editing, WebSocket sync, debounce control, and user presence using TypeScript and CodeMirror 6.
Courses: Machine Learning, Computer Vision, Robotics, DSA Certifications: AWS Certified Solutions Architect