Bogdan Sibișan is a Senior Software Engineer with 7 years of experience specializing in C/C++ development, image processing and AI-driven automotive systems. He combines hands-on algorithm and software development with requirements engineering, build/configuration management and occasional deputy project management. His work spans deep learning for autonomous driving, path planning and environment modeling, with recent emphasis on Python-driven AI workflows and Nvidia ORIN integration. As an Associate Professor in robotics and signal processing, he bridges academic research (PhD, summa cum laude) with industry delivery, having produced LSTM-based trajectory predictors and simulation engines. Extremely familiar with simulation (MTS, ADTF) and repository tooling, he is comfortable moving prototypes into production-grade automotive platforms. Based in Brașov, Romania, he quietly blends rigorous research credentials with practical, demo-ready systems for OEMs like Renault and Volvo.
7 years of coding experience
9 years of employment as a software developer
PhD, Artificial Intelligence and Computer Systems Technology, Summa cum laude, PhD, Artificial Intelligence and Computer Systems Technology, Summa cum laude at Universitatea Transilvania din Brașov
High School, Mathematics and Computer Science, High School, Mathematics and Computer Science at National College Andrei Saguna
GridSim is an autonomous driving simulator engine that uses a car-like robot architecture to generate occupancy grids from simulated sensors.
Contributions:17 commits in 14 days
sensorsoccupancysimulationsimulatorcrossword
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Bogdan Sibișan - Senior Software Engineer at Capgemini Engineering