Hesam Hassani is an AI Engineer with six years of industry experience and three years focused professionally on AI development, currently pursuing a Master's in Artificial Intelligence at the University of Bologna. He blends hands-on engineering—Python, PyTorch, TensorFlow, model optimization and deployment—with applied research on LLM-based agents and scaling laws at Eigent AI. Hesam has built production ML systems for industrial vision and ITS, managing datasets of over a million images and optimizing inference with TensorRT, ONNX and OpenVINO. As a technical writer for Towards Data Science and DataCamp he translates cutting-edge research into practical guides and runs an AI newsletter, signaling strong communication skills alongside technical depth. He contributes to open-source agent tooling (managing the CAMEL repo) and leads educational efforts like the Agents Foundation course, demonstrating a mix of developer, researcher, and educator roles. Pragmatic and research-minded, he’s comfortable moving projects from prototype to production while critically exploring the latest AI trends.
6 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at K. N. Toosi University of Technology
Master's, Artificial Intelligence, Master's, Artificial Intelligence at Alma Mater Studiorum – Università di Bologna
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