Summary
Elgiz Baskaya is a Director of Operations and aerospace engineer with a decade of experience driving AI-enabled safety and autonomy across aviation and space domains. He combines hands-on research—from a PhD in aerospace engineering and postdoctoral work at ENAC—with industry impact as a Senior Data Fusion Engineer for Airbus-related projects and now leading product and market expansion at Skypuzzler. Elgiz plays a central role in shaping AI-in-aviation standards as Co-Lead of SAE WG-114’s Machine Learning Design subgroup and lead of its Reinforcement Learning task, contributing to ARP6983 and practical drone fault-diagnosis use cases. His expertise spans certifiable AI for control avionics, sensor-failure detection, UTM innovation, and adapting tactical de-confliction tech for space operations. Colleagues value him for bridging rigorous academic methods with product-focused execution and for seeding open, reproducible examples that accelerate standards adoption. Based in Toulouse, he’s actively building collaborations at the intersection of autonomy, safety, and regulatory design.
10 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical/Space Engineering, Doctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical/Space Engineering at Université Paul Sabatier Toulouse III
Doctor of Philosophy (PhD), Aerospace, Aeronautical and Astronautical/Space Engineering, Doctor of Philosophy (PhD), Aerospace, Aeronautical and Astronautical/Space Engineering at Istanbul Technical University
English, Turkish, French