
Muhammad Abdullah
@muhammadabdullah58
I build real-time computer vision platforms and scalable backend SaaS systems.
What I'm looking for
I've delivered production computer-vision and SaaS platforms at Escalo.Ai, including real-time sports analytics and a multi-tenant business product. I ran 24/7 multi-GPU inference across 44 lanes at two venues with automatic session recovery.
At Neuronics, I architected real-time video analytics systems, deep-learning pipelines for detection, tracking, and behavior analysis, and scalable multi-camera inference and alerting frameworks. I also built multithreaded TensorRT-optimized inference modules.
I've led a four-engineer FastAPI migration, improved response times by 20% with Redis caching, and improved sports-video inference performance by 28% through TensorRT and algorithm improvements. My work spans PyTorch, YOLO, StrongSORT, OSNet, ONNX, FastAPI, PostgreSQL, Docker, Python, C++, and Git.
Experience
Work history, roles, and key accomplishments
Backend & Computer Vision Engineer
Escalo.Ai
Dec 2025 - Jul 2026 (7 months)
Owned end-to-end delivery of two production platforms: a real-time computer-vision sports analytics product and a multi-tenant business SaaS. Ran 24/7 multi-GPU inference across 44 lanes at 2 venues with auto session recovery.
Computer Vision Engineer
Neuronics
Apr 2025 - Dec 2025 (8 months)
Architected and deployed real-time computer vision systems for video analytics. Engineered deep learning pipelines for object detection, tracking, and behavior analysis.
Education
Degrees, certifications, and relevant coursework
National University of Science and Technology (NUST)
Bachelor of Engineering, Mechatronics Engineering
Completed a BE in Mechatronics Engineering from NUST in June 2024.
Availability
Location
Authorized to work in
Skills
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