EDGE AI / INDUSTRIAL SAFETY01
Real-time PPE detection, from model training to a live edge deployment at Texas State.
YOLOv8 + CBAMTensorRTNVIDIA Orin
01 ABOUT ME
Hi, I’m
Aaditya Baniya.
Software engineer & computer vision researcher
AADITYA RAJ BANIYA ↗I’m a Computer Science student at Texas State University, working at the intersection of software engineering, machine learning, and computer vision.
My work spans factory safety, industrial time studies, creative AI tools, and robotics. I like the whole process: understanding a problem, building the system, and seeing it work in someone’s hands.
San Marcos, Texas
Education & community
Texas State University
B.S. Computer Science · Expected May 2027
LEADING & CONNECTING
More about me President · Data Analytics Association
Secretary · Google Developer Group TXST
Also part of .EXE, ACM AI, SIAM Math Club, IEEE, and CODE PATH ORG.
02 THE WORK
Ideas, made real.
Vision at the edge. Intelligence in the browser.
A few things I’ve put into the world.
4 projects selected
There’s more in the workshop.
25–30ms
Edge inference · Makerspace Sentinel
18,000+
Unseen validation images · Sentinel
$13,000
Grants, fellowships & prizes
✳
From the research lab
to the real world.
03 EXPERIENCE
Learning by building.
Building for people.
Research, product thinking, and the engineering
that brings it all together.
Sep 2024 — Present
HUMAN DIGITAL TWIN & COMPUTER VISION
Undergraduate Research Assistant
Texas State University · Ingram School of Engineering
- Built a real-time MediaPipe pipeline to identify hazardous factory actions and trigger voice alerts for visually impaired workers; deployed at a San Antonio facility.
- Optimized CBAM-enhanced YOLOv8 for PPE detection on Jetson AGX Orin with TensorRT.
- Improved action recognition accuracy by 10% on industrial footage with YOLOv8, MediaPipe, and a TimeSformer trained on Assembly101.
- Research also includes worker fatigue detection and automated MOST analysis.
Sep 2024 — Present
COMPUTER VISION STARTUP
Tech Lead · MOSTify
BobCatalyst Innovation Accelerator · Texas State University
- Led the computer vision pipeline from dataset collection through training, optimization, and deployment.
- Reduced 3–5 days of manual time-study analysis to 1–2 hours of semi-automated work.
- Conducted 40+ customer discovery interviews; supported by a $5,000 BIAP II grant.
2024
Apr 2023 — Dec 2023
FULL-STACK ENGINEERING
Software Development Intern
Orgware Construct Pvt. Ltd. · Nepal
- Built a Flask and React support platform connecting rural businesses, schools, and offices with IT teams; average issue resolution took under 20 minutes.
- Redesigned the MySQL schema and slow queries to support 100 concurrent users without performance degradation.
- Wrote backend unit and integration tests, collaborated through pull requests, and helped deploy and monitor the application on Linux.
04 THE TOOLKIT
A full-system perspective.
The right tools for the problem.
From a model to the interface around it.
AI×SE
SOFTWARE × INTELLIGENCE
Built to leave the lab. ↗
A LITTLE CURIOSITY IN MOTION
AI, vision & edge
From training data to real-time inference.
Software & systems
The applications around the intelligence.
Data, APIs & delivery
Connecting, testing, and shipping the whole system.
Foundations Machine Learning · Data Structures & Algorithms · Object-Oriented Programming · Applied Linear Algebra · Software Engineering
05 RECOGNITION
A little fuel
for the next idea.
$13kin grants, fellowships & prizesPresident’s List & Dean’s List
across 6 semesters.
✳$5,000
BIAP II grant
MOSTify
✳$3,500
Quanta Fellowship
Undergraduate research
✳$3,000
Makerspace Digital Twin grant
Makerspace Sentinel
✳$1,000
Best Use of FAL API · 1st prize
ReelStudio
✳$500
Bobcat Innovation Challenge · 1st place
Computer vision time studies
BUILT IN GOOD COMPANY
AITX ’26✳NexHacks ’26✳HackTX ’25✳AITX ’24✳BokoHacks ’24
THE DETAILS, TO GO
Two lenses.
One curious engineer.
06 WHAT’S NEXT?
Let’s make
something
meaningful.↗
An interesting engineering challenge, a research idea, or just a good conversation. I’d love to hear it.
Also at adityabaniya.us@gmail.com