Cesare Montresor is a seasoned software engineer and current PhD student at the University of Verona with 12 years of hands-on experience spanning embedded systems, mobile apps, full-stack backends and, more recently, machine learning and robotics. He researches functional modularity in neural networks while building practical deep learning and reinforcement learning systems for autonomous navigation, digital twins, and embodied AI. Comfortable in Python, C++, PyTorch/TensorFlow and ROS, he blends production engineering from his startup and freelance years with rigorous academic inquiry. He runs a weekly ML study group, reflecting a commitment to continuous learning and community teaching that complements his published and applied research. Based in Veneto, Italy, Cesare’s uncommon mix of early-era systems integration and cutting-edge RL research lets him bridge legacy infrastructure and novel AI-driven robotics solutions.
12 years of coding experience
11 years of employment as a software developer
Machine Learning by Anderw Ng, 100/100, Machine Learning by Anderw Ng, 100/100 at Coursera
Deep Reinforcement Learning Nanodegree, Deep Reinforcement Learning Nanodegree at Udacity
fast.ai
70, Information Technology, 70, Information Technology at ITIS Guglielmo Marconi
Marster Degree, Computer Science and Engeneering, 110+ / 110, Marster Degree, Computer Science and Engeneering, 110+ / 110 at Università degli Studi di Verona
Contributions:126 PRs, 115 pushes, 3 branches in 2 years 2 months
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