About
I studied Media Systems (Media Computer Science) at the University of Applied Sciences Hamburg until March 2025 and have already gained initial experience in software development through student jobs and research projects. My previous experience includes visualizing data on the frontend as well as data processing on the backend. Specifically, I have gained hands-on experience in the following areas/projects:
- Frontend implementation of a prototype for the energy-efficient modernization of housing stock
- Optimization of manufacturing processes in printed circuit board (PCB) production
- AI-based emotion recognition
- Development of a predictive model for order forecasting
🚀 Technologies: Python, Angular/TypeScript, Java, REST, Git, Agile Software Development
Resume
Education
Bachelor of Science - Media Systems
03/2020 - 03/2025
University of Applied Sciences Hamburg
- Current average: 1.5 (scale from 1.0 best to 5.0 worst)
- Relevant Coursework: Software Development I & II, Software Engineering, Databases, Adaptive Systems and Artificial Intelligence, Computer Networks, Theoretical Computer Science, Information Technology I - III, Mathematics I - III
- The practice-oriented Media Systems degree course qualifies students as computer scientists who, in addition to posessing core computer science knowledge, are skilled in the areas of software development, network and server technology, multimedia services, and storage technologies.
Professional Experience
Web Developer
09/2024 - 01/2025
University of Applied Sciences, Hamburg
Web Developer in the research project IntelMOD / KIMM (AI-supported modernization of rental housing stock). Within the project, an intelligent platform for modernization initiatives in residential buildings is being developed, along with a feasibility study on AI-supported decision-making processes for energy-efficient modernizations in rental housing. My responsibilities included requirements analysis in collaboration with domain experts, creating an initial design draft in Axure RP 10, and implementing the frontend of the prototype in Angular.
Software Engineer
09/2022 - 03/2023
Mynaric Lasercom, Munich (Remote)
My tasks included developing a software solution in Python and GraphQL to optimize the manufacturing process of printed circuit boards (PCBs) for laser communication in satellites and ground stations. By directly connecting to the API of the design software used by engineers to design the PCBs, the required component data is automatically transferred to the production machines. This replaces the error-prone manual process, saves time, and increases efficiency in manufacturing.
Teaching Assistant
09/2020 - 07/2022
University of Applied Sciences, Hamburg
Lectured tutorial courses for approximately 30 participants, supervised around 50 students during their coursework, and was responsible for grading student assignments.
Audio Engineer
09/2015 - 02/2020
Self Employed, Stade
I handled instrumental and vocal recording, audio editing, and mixing tasks, ensuring high-quality audio production. Additionally, I supported clients by providing data analytics insights using tools such as Google Analytics and YouTube Analytics. Furthermore, I effectively managed multiple client projects, consistently meeting deadlines under tight time constraints.
IT Consultant
10/2014 - 08/2015
Jungmann Systemtechnik, Buxtehude
I provided expert consulting services focused on the design and implementation of advanced IT monitoring and management systems specifically tailored for control centers. By thoroughly analyzing customer requirements, I developed customized solutions that effectively integrated existing systems into a unified, proactive platform. Additionally, I guided clients in optimizing their workflows using intelligent desktop interfaces and advanced large-screen monitoring technologies. Throughout the process, I closely collaborated with stakeholders to ensure seamless integration, facilitate user adoption, and guarantee the long-term scalability of the implemented systems.
Projects
Deep Learning based Facial Emotion Recognition under HMD Occlusion (Research Project)
2024
Research Project
• Planned and conducted an experiment involving 16 participants to create a dataset for deep learning-based facial emotion recognition.
• Analyzed the dataset in Python using a computer vision model to detect emotions, despite partial facial occlusion due to a head-mounted display (HMD).
Python, Machine Learning, HTML/CSS, JavaScript, Project Management
Foley Machine Web App (3 team members)
2024
University Project
• Developed a web application using a customized YOLOv5 machine learning model for object detection, generating corresponding sound effects for detected objects via the freesound.org API. Deployed the application on AWS.
Python, Machine Learning, HTML/CSS, JavaScript, Project Management
3D X-Ray Simulation
2023
University Project
Developing a 3D X-Ray simulation for training purposes in the medical field. The simulation was able to simulate the most important steps when doing a specific X-Ray image of the thigh.
Unity, C#, Blender
Data Mining Cup 2022
2022
Data Science Competition
Predict user-based replenishment of a product based on historical orders and item features. For a predefined subset of user and product combinations it should be predicted if and when a product will be purchased during the prediction period.
Python, Scikit-learn, Matplotlib, XGBoost, Knime
Timetracker CRUD App
2021
University Project
Time Tracking CRUD App in Java that allows you to track your time using a stopwatch, add projects and save it to a database. In the dashboard you can see the time you spent on each project. Primary aim was to learn how to work in a team and planning a software using requirements engineering, choosing a process model (we went with Scrumban), effort estimation, choosing a software architecture, choosing design patterns, creating UML diagrams and use Git and Github for versioning.
Java, H2, Git, Project Management, Scrumban, UML