Alan Tabata is a software developer with 8 years of experience specializing in C++ and Python for automotive, simulation and electric power applications. He holds a double master's degree from Universidade Federal do Paraná and Technische Hochschule Ingolstadt and has shipped middleware and co-simulation frameworks for HIL/SIL at CARIAD and vehicle perception models in academic research. His work blends deep learning computer vision (object detection, monocular depth) with systems engineering—building synthetic datasets and CARLA-based data collectors to bridge research and production. At Audi and Hexagon Agriculture he developed C++ architectures and integrated Simulink virtual vehicles, while improving CI/CD pipelines and developer tooling. He routinely pairs low-level systems work with ML PoCs (including using PyTorch C++ API for RL) and mentors junior engineers to scale impact. Based in Paraná, Brazil, he brings a rare mix of automotive domain knowledge, power-systems experience and production-grade software craftsmanship.
8 years of coding experience
4 years of employment as a software developer
Master of Engineering - MEng, International Automotive Engineering, Master of Engineering - MEng, International Automotive Engineering at Technische Hochschule Ingolstadt
Master of Science - MS, Electrical, Electronics and Communications Engineering, Master of Science - MS, Electrical, Electronics and Communications Engineering at Universidade Federal do Paraná
Contributions:20 PRs, 43 pushes, 2 branches in 5 years 6 months
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Alan Tabata - Software Developer at Hexagon Agriculture