Summary
Alexander Chernykh is a Machine Learning Engineer based in Munich with 10 years of experience building ML-driven systems across healthcare, telecom, automotive, and e-commerce. He combines deep learning research—particularly explainable AI for surgical video analysis—with production MLOps expertise at BMW and inovex, shipping models and pipelines on Kubernetes, Terraform, GitLab CI/CD and cloud platforms. His background spans research roles at NCT and Fraunhofer to engineering positions implementing anomaly detection, time-series pipelines, and recommendation and pose-estimation apps, reflecting a rare mix of academic rigor and production delivery. A two-time Deutschlandstipendium scholar who began tinkering with Symbian and iOS, he is fluent in Python, Go, Java, PyTorch/TensorFlow and infrastructure tooling, and has repeatedly turned prototype research into usable tools and contest-winning projects.
10 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Technische Universität Dresden
Russian, German, English, Portuguese