Hi, I’m Felix Wagner, a recent Master’s graduate in Artificial Intelligence and Computer Vision from Kempten University of Applied Sciences. During my studies, I developed a deep passion for leveraging data and AI to solve complex problems and uncover actionable insights. With practical experience in data engineering, machine learning, and full-stack development, I’m excited to start my professional journey and contribute to impactful projects as a Data Engineer or AI Engineer.
Professional Experience
Full-Stack Developer Internship (Full Time)
kasasi GmbH, Kempten (Sept. 2020 – Feb. 2021)
- Developed API gateways to retrieve, process, and store telematics data.
- Created an Excel export feature with adjustable filters and sorting, integrating it into a user-friendly web interface (Java, React, MongoDB).
- Gained hands-on experience with database management (MySQL, MongoDB) and RESTful APIs.
Research Assistant (on an hourly basis)
Kempten University of Applied Sciences (June 2021 – Aug. 2024)
- Collaborated on projects related to game theory, focusing on algorithm implementation in R and C++.
- Contributed to the CRAN R Package CoopGame by implementing and testing theoretical models.
- Worked on internationalization projects under Prof. Dr. Staudacher, maintaining GitLab repositories and project servers (Linux).
Academic Projects
Efficient Power Index Computation (EPIC): Developed algorithms for computing power indices in weighted voting games; published research in Games 2022.
Quasi-Ordered Binary Decision Diagram (QOBDD): Applied binary decision diagrams to calculate power indices; publication in progress.
Skills
Programming Languages: Python, Java, C++, R, SQL
Tools & Technologies: Docker, Git, AWS, PyTorch, Pandas, REST APIs
Certifications: IBM Data Science (Coursera)