Arun Bagavathiannan
I'm a Computer Science student at UT Austin. I lead a team of five on UT Registration Plus, the Chrome extension 60,000+ students use to build their schedules. I have presented machine learning research conducted at Texas A&M in Vancouver and Spain, and I've spent five years growing a YouTube channel past 20,000 subscribers.
Experience
Longhorn Developers
Aug 2026 — Present
Technical Lead, UT Registration Plus
Austin, TX
- Promoted from Software Engineer to lead a team of 5 developers.
- Ran end-to-end hiring for the developer fellowship — screened 80+ applications, interviewed finalists, selected 4 engineers at roughly a 5% acceptance rate.Longhorn Developers
Jan 2026 — Aug 2026
Software Engineer, UT Registration Plus
Austin, TX
- Built the Course Status Checker for real-time seat tracking inside the calendar UI, cited in UT CS News coverage of the extension.
- Designed a throttled refresh system in React and TypeScript to avoid API rate-limiting under university infrastructure constraints, and a reactive store synchronising state between background service workers and the frontend.YouTube
Jul 2021 — Present
Content Creator
- Grew a video-editing channel past 20,000 subscribers, 32M+ impressions and 7M+ views.
- Launched and ran buyorphic.com, selling editing presets for $500+ in its first year.Texas A&M University
Jan 2025 — Mar 2025
ML Research Intern
College Station, TX
- Took a raw 100-image dataset to a production YOLOv8 detection model at 80%+ precision and recall. Automated augmentation workflows in Python and OpenCV scaled training data 6×.
- Presented results at 3 conferences, including the Weed Science Society of America in Vancouver and the European Weed Research Society in Spain.
Education
The University of Texas at Austin
Expected Fall 2028
B.S. Computer Science
Austin, TX
- GPA: 3.73.
- Transferred into Computer Science from Electrical and Computer Engineering.
- Relevant coursework: CS 311 (Discrete Math), CS 314 (Data Structures), ECE 312H (Software Design & Implementation I), ECE 319H (Embedded Systems), M 340L (Matrices and Matrix Operations).J.F. Oberlin University
Summer 2026
Logic and Probability — UT Study Abroad
Shinjuku, Tokyo, Japan
- Completed 2 months of global immersion in Japan with frequent industry visits and collaboration with Japanese students.
- Coursework includes ECE 316 (Digital Logic Design) & ECE 351K (Probability & Random Processes).
Projects
- JavaScript
- Chrome MV3
- TF-IDF
Breakout
– A Chrome extension scoring YouTube videos against rolling channel medians, so a video is judged against its own channel’s baseline rather than raw view count.
– ParsesytInitialDatainstead of the quota-limited API. A TF-IDF niche filter builds weighted vocabulary from seed channels, surfacing adjacent outliers that keyword search misses.- JavaScript
- React
- Claude API
- RAG
Immigration Roadmap
- Won 1st Place at the Data Portability Hackathon held by the UT School of Law & the AI Collective.
View Website
- Provides tailored suggestions for aspiring immigrants to streamline paperwork and potentially saving years of visa application wait time.
On YouTube
- views
- 76K+
- views
Engineered a step-by-step tutorial to educate tens of thousands of fellow editors to improve their video editing pipeline.
Created python scripts for math animations using Manim, connecting complex fictional concepts to their mathematical reality.
