Summary
Saidrasulkhon Usmankhujaev is a software engineer and PhD in Electronic and Computer Engineering with 10 years’ experience building real-time AI systems for autonomous driving and robotics. He combines deep learning expertise (TensorFlow, PyTorch, YOLO) with practical sensor-fusion and ROS-based robotics to deliver production-grade features like 3D-to-2D distance estimation (98% accuracy on KITTI) and warehouse robot docking with 4cm average error. His work spans perception, SLAM, and real-time web monitoring, and includes a fast moving-violation detector achieving 90.8% mAP at 27ms latency. A hands-on educator and mentor, he has improved student outcomes through practical ROS capstone courses and hybrid teaching models. Based in Incheon with roots in Uzbekistan, he pairs rigorous research results with deployable engineering solutions that emphasize robustness in varied lighting and operational conditions.
9 years of coding experience
Bachelor's degree, Computer Science and Engineering, 3.70 / 4.50, Bachelor's degree, Computer Science and Engineering, 3.70 / 4.50 at INHA University in Tashkent
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at Inha University