Summary
Davide Callegaro is a software engineer with nine years of experience at the intersection of machine learning, robotics, and edge computing, currently contributing to Zoox in the San Francisco Bay Area. He developed the Hydra distributed inference platform and a real-world UAV/rover testbed during his Ph.D. work at UC Irvine, enabling reproducible experiments in real-time video analytics and wireless-aware scheduling. His research produced publications on real-time task distribution and Markov Decision Process models for unreliable networks, and he has hands-on experience deploying TensorFlow/Keras and Deep Q-Learning for low-latency decision systems. Past industry internships include building DNN-based face recognition and scheduling optimizations at Nutanix and driving DNN compression work at Bosch. He combines rigorous academic modeling with practical systems engineering—often implementing end-to-end testbeds and tooling (Grafana, InfluxDB, Python3) that labmates adopt.
9 years of coding experience
Master in Computer Engineering Computer Engineering, Master in Computer Engineering Computer Engineering at Università degli Studi di Padova
University of California, Irvine
Italian, English, Spanish