Summary
Pavlo Mospan is a data scientist with 10 years’ experience building production-oriented AI systems, specializing in generative AI, NLP/ASR and computer vision pipelines deployed at scale in Azure. He has hands-on expertise across the ML lifecycle—data integration, custom model training, prompt engineering and cloud-native MLOps—having implemented end-to-end speech recognition and object-detection systems in production. His background blends academic rigor (dual degrees from NTUU Kyiv Polytechnic Institute and further MS/BS studies in Germany) with industrial engineering at companies like euregon, adesso and Fraunhofer. Pavlo is comfortable across the stack, from frontend/web scraping and data collection to model optimization, deployment automation and asynchronous pipelines. He also brings experience teaching ML concepts to diverse audiences and building Auto-ML and multi-agent RL solutions for robotics, reflecting a strong mix of research and applied engineering. Based in Augsburg, he combines cross-border education and practical product delivery to turn complex ML research into reliable, production-ready services.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Applied Computer Science, Bachelor of Science - BS, Applied Computer Science at Hochschule Merseburg
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Augsburg
Igor Sikorsky Kyiv Polytechnic Institute
English, German, Russian, Ukrainian, Chinese