Hamid Taheri

Hi, I’m Hamid. I design learning-based control and perception systems that keep robots reliable when operating in uncertain, dynamic environments.

I completed my M.Sc. in Electrical Engineering – Control at K. N. Toosi University of Technology, where my thesis focused on safe mobile robot navigation via an enhanced PPO pipeline. Later, 42 Heilbronn became the place where I sharpened my low-level systems skills across C, C++, Docker, and rigorous debugging workflows.

Right now I’m an AI Innovation Intern at PreZero Stiftung & Co. KG in Neckarsulm, Germany. I’m working on transformer-based (TabPFN) models that forecast waste volumes and help optimize how we plan collection routes. Before that, I was a Computer Vision Engineer Intern at Schwarz IT KG, building real-time detection pipelines for inline quality control with PyTorch, OpenCV, and TensorRT.

What I’m focused on

• Deep reinforcement learning for mobile robot navigation and sim-to-real transfer
• Computer vision for inline quality control and anomaly detection
• Systems-level programming and tooling for robust, production-grade ML

Looking ahead: I’m open to Ph.D. programs and research engineering roles where deep reinforcement learning, robot navigation, trustworthy perception, and robust control are at the core of the work.