Summary
Denis Tananaev-kort is a GenAI expert based in Sindelfingen, Germany, with 10 years of deep experience applying machine learning and computer vision to automotive and robotics systems. He has led technical architecture work at Bosch on multi-sensor fusion, NeRF/Gaussian Splatting 3D reconstruction, LiDAR perception and odometry, and deployed neural models for embedded ADAS. Now at VinFast Deutschland he focuses on GenAI applications, combining foundational-model techniques with his hands-on background in SLAM, photogrammetry and sensor calibration. His academic roots include a Master in Computer Science from the University of Freiburg and a PhD-level engineering background where he developed adaptive filtering and HMM diagnostics for vehicle acoustics. Denis maintains an active code portfolio and technical writing on Medium, signaling a practice-oriented researcher who regularly turns research prototypes into production-capable systems. An often-overlooked strength is his cross-disciplinary fluency—bridging low-level C++/sensor stacks and high-level generative AI—to accelerate real-world perception products.
10 years of coding experience
10 years of employment as a software developer
Master of Computer Science Informatik, Master of Computer Science Informatik at The University of Freiburg
internship Electrical Engineering Technologies/Technicians, internship Electrical Engineering Technologies/Technicians at Ruhr University Bochum
Engineer (Specialist Diploma) Automobile Traffic Engineering, Engineer (Specialist Diploma) Automobile Traffic Engineering at North-Caucasus State Technical University
Russian, English, German