Antonio M is a game programmer with six years of hands-on experience building real-time systems in C++ and Unreal Engine 4/5, currently contributing at Globant after working on CARLA, the well-known open-source autonomous driving simulator. He has a strong background in multiplayer architecture, VR development for Oculus Quest, and low-level optimization from assembly-language projects, which gives him a practical edge in systems and performance work. Antonio contributed core sensor-spawning features to CARLA, including multi-camera capture and UE5.3 compatibility, demonstrating both gameplay and tooling expertise in large Unreal codebases. Based in Elche, Spain, he combines academic training in multimedia engineering with a track record of shipping gameplay, AI and networked features across studios and research projects.
5 years of coding experience
4 years of employment as a software developer
Multimedia Engineering Digital creation and entertainment, Multimedia Engineering Digital creation and entertainment at Universitat d'Alacant
Open-source simulator for autonomous driving research.
Role in this project:
Full-stack Developer
Contributions:5 reviews, 14 PRs, 36 pushes in 3 months
Contributions summary:Antonio contributed to the development of the SensorSpawnerActor, a core component for spawning custom sensors within the Unreal Engine editor. Their work included implementing sensor spawning logic, incorporating options to save scene capture images to disk, and enabling the saving of multiple sensor camera captures. Further enhancements focused on code style and merging in UE5.3-related changes, indicating involvement in maintaining and improving the project's compatibility and features.
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