Sherzodbek Tojimahammatov is a Software and Deep Learning Engineer with nine years of experience building production-ready AI and backend systems from Uzbekistan. He designs and deploys computer vision models for tasks like object detection, pose estimation and video action recognition, and speeds up inference through quantization and ONNX/TensorRT optimization while serving them via Python microservices. His background spans research (improving 3D detection by 33% via camera–LiDAR fusion at Hanyang University) to cloud-native backend work—designing FastAPI services, RDS schemas and AWS environments. Equally comfortable with low-level system work and high-level ML research, he has hands-on experience with Docker, simulation-based RL (CARLA), and Linux server administration. He frequently bridges data engineering and ML teams by building pipelines and migration tools that make models easier to train and deploy.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Computer Software Engineering, A, Bachelor of Science - BS, Computer Software Engineering, A at INHA University in Tashkent
Master of Science - MS, Signal Processing and Machine Learning, A, Master of Science - MS, Signal Processing and Machine Learning, A at Hanyang University
High School Diploma, Mathematics, A, High School Diploma, Mathematics, A at 2nd Academic Lyceum of Andijan Machine Building Institute
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Sherzodbek Tojimahammatov - Software & Deep Learning Engineer at Tezzro