About Muhammad Hassan
I'm Muhammad Hassan, a Computer Vision and AI Engineer based in Islamabad, Pakistan. On this site I also go by Muhammad Hassan Gul (my full name) and Hassan Gul (my short name) — all three pages describe the same person and the same body of work. This page exists so that people searching for "Muhammad Hassan" can find me and connect the dots.
I design and ship real-time computer vision systems for sports technology: models that detect athletes, estimate their pose, and track their movement through live footage — then turn all of that into biomechanical insight that coaches and sports scientists can use. I'm open to remote roles and relocation worldwide.
What I Specialize In
My work spans the full stack of a vision system, from data and training through to optimized deployment:
- Pose estimation & keypoint detection — lightweight models that localize joints and limbs on live video in under 30 milliseconds.
- Multi-object tracking — YOLO-based detection paired with ByteTrack and DeepSORT for stable identities through occlusion.
- Sports analytics & biomechanics — translating multi-camera pose data into standardized performance reports.
- Edge AI deployment — quantization and TensorRT acceleration so models run fast on constrained hardware.
- Backend & MLOps — FastAPI services, Docker, AWS (S3, EC2) and live-streaming pipelines over RTSP and FFmpeg.
Professional Background
I'm currently a Computer Vision Engineer (Part-Time) at ID Sports Ventures in Berlin, Germany (Jan 2026 — Present), where I architect real-time video analytics that track athlete performance during live competition and collaborate with sports scientists on biomechanical reporting.
Previously, I was a full-time Computer Vision Engineer at the same company (Sep 2025 — Dec 2025), where I boosted pose estimation accuracy by 15%, implemented multi-object tracking for team-sport occlusion, and cut video preprocessing overhead by 40%. Before that, I was a Software Engineer at Oxmite Digital Ltd (Jul 2025 — Aug 2025), building FastAPI microservices and raising test coverage to 85%.
How to Reach Me
The fastest way to reach me is by email — I reply within 48 hours. You can also connect on LinkedIn or browse my code on GitHub.
"I engineer computer vision systems that read human motion at machine speed — from sub-30ms edge inference to production-grade deep learning pipelines." — Muhammad Hassan