Summary
Nenad Biresev is a seasoned computer vision engineer and founder with 13+ years in software development and over 7 years building production-grade AI for real-world perception problems. He designs end-to-end vision systems—from dataset and synthetic data creation to model training, optimization, and embedded Jetson deployments—across robotics, safety AI, biometric security, and industrial analytics. His work spans detection, tracking, segmentation, action recognition and 3D point-cloud fusion, with a strong record of improving field performance (e.g., obstacle detection gains for autonomous cleaners and ~99%+ biometric spoof detection). He founded DrownShieldAI and ran real-world pool and beach trials, demonstrating an uncommon focus on operational validation beyond lab results. Comfortable in Python, C++, PyTorch and TensorFlow, he also deploys at scale using Azure, Docker, MLFlow and DeepStream pipelines. Based in Bonn, he’s open to freelance and long-term collaborations that translate research into robust, low-latency edge and cloud solutions.
13 years of coding experience
4 years of employment as a software developer
Master of Computer science;, Computer Science, Master of Computer science;, Computer Science at University of Bonn, Computer Science Institute VI
Diploma, Computer Science, Diploma, Computer Science at University of Novi Sad, Serbia
English, German, Serbian