Leo Ghignone is a Senior Software Engineer and machine learning researcher with nine years of experience, recently completing a PhD at UNSW Canberra focused on efficient and distributed deep reinforcement learning. His work spans academic research—covering general game playing, driver distraction detection, and cognitive science—and practical engineering in data and web back-end/front-end systems. Based in Hobart, he has blended roles as a data engineer and researcher, now contributing to resilience-focused intelligent systems at UNSW Canberra. Comfortable both deepening expertise in RL and branching into new domains, he pairs strong theoretical grounding with hands-on production experience. An underappreciated strength is his track record of translating research prototypes into robust data-driven applications across academia and industry.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at UNSW Canberra
Laurea Magistrale LM, Informatics, 110/110 e Lode, Laurea Magistrale LM, Informatics, 110/110 e Lode at Università degli Studi di Torino
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