Summary
Daniel Lyubomirov is a Senior Python Developer specializing in machine learning with nine years of experience building cloud-native tooling and deep learning models, now focused on NLP and graph analysis at Bosch. He holds an M.Sc. from RWTH Aachen and combines a strong academic foundation with practical expertise from roles at MathWorks where he designed AWS-backed MATLAB cloud features and resolved complex Simulink issues. Comfortable across Python, MATLAB, AWS, Bash and testing frameworks, he has also led documentation and interview initiatives, reflecting a blend of hands-on engineering and team stewardship. Early work includes medical-data analysis and fault-detection deep learning, showing a consistent interest in applied ML for critical domains. Fluent in German and English and based in Sofia, he brings a methodical, research-informed approach to production ML systems. An under-the-radar strength is his history of teaching and translating technical material, which sharpens his ability to communicate complex solutions clearly.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science, Electrical engineering, Information Technology and Computer Engineering, 2.1 (Top 12 % of graduating class), Bachelor of Science, Electrical engineering, Information Technology and Computer Engineering, 2.1 (Top 12 % of graduating class) at RWTH Aachen University
High School Diploma (Matura), 6.00 (highest GPA in graduating class), High School Diploma (Matura), 6.00 (highest GPA in graduating class) at Romain Rolland foreign language high school, Stara Zagora, Bulgaria
German, English, Bulgarian