
AbdulRehman Butt
@abdulrehmanbutt1
I build production computer vision and machine learning systems for real-world safety applications.
What I'm looking for
I'm improving production perception systems at Motive, where I debug and align Forward Collision Warning implementations and improve speed sign detection across real-world driving scenarios. My work increased FCW detection precision by 5% and speed sign detection precision by 7.5%.
Previously, I built YOLO-based restaurant automation solutions at AIO and researched explainable AI, sentiment analysis, language-model fine-tuning, and speech technologies at AIM LAB. I've co-authored an Urdu text-to-speech dataset paper and built projects spanning YOLOv8 segmentation, on-device MobileNet inference, and mobile road-condition mapping.
Experience
Work history, roles, and key accomplishments
SWE - ML
Perception
Sep 2025 - Present (1 year)
Debugged and aligned the edge implementation of Forward Collision Warning (FCW) with its cloud counterpart, improving detection precision by 5%. Improved speed sign detection precision by 7.5% by identifying and addressing model failure cases across real-world driving scenarios.
Education
Degrees, certifications, and relevant coursework
National University of Computer and Emerging Sciences
Bachelor of Science, Artificial Intelligence
2021 - 2025
Grade: Magna Cum Laude
Pursued a Bachelor of Science in Artificial Intelligence, graduating Magna Cum Laude. Coursework included computer vision, machine learning, and natural language processing.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/rehman-battJob categories
Skills
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