Summary
Alexey Abramov is a Senior Software Engineer with a PhD in computer science and over a decade of hands-on experience building reliable systems in computer vision, AI, and robotics for automotive applications. He has driven prediction and perception work for self-driving platforms at Argo AI and CARIAD and developed ADAS algorithms and software at Continental, blending research rigor with production-grade C++ and Python engineering. Comfortable moving between academia and industry, he brings deep expertise in modern software design, real-time constraints, and probabilistic prediction models. Based in Munich, he pairs strong implementation skills with a research mindset—evident from a sustained trajectory from PhD and postdoc work to shipping safety-critical automotive features. An inquisitive engineer, he maintains a technical blog and public GitHub to document experiments and practical insights that bridge theory and deployment.
10 years of coding experience
15 years of employment as a software developer
MSc and BA in Computer Science Computer science, MSc and BA in Computer Science Computer science at National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at The University of Göttingen
Russian, German, English