My Journey

The Fraunhofer-Gesellschaft, headquartered in Germany, is one of the world’s leading organizations for applied research, playing a pivotal role in innovation by focusing on cutting-edge technologies and their transfer to industry.
At Fraunhofer IPK, I contributed to the development of digital solutions for integrated production as part of the Business Process and Factory Management department. My main responsibilities included:

• Developing web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js)
• Designing and implementing RESTful APIs with Express.js
• Creating user interfaces with React.js
• Database design and management with MongoDB
• Conducting code reviews and testing
• Debugging and optimizing existing applications
• Integrating third-party APIs

Additionally, I maintained and advanced the BatteryPass prototype, and developed an assessment tool to help companies prepare for the BatteryPass by identifying areas for improvement. I also led the integration of a RAG Chatbot that utilizes third-party chatbots like ChatGPT and Gemini within our process management tool, "Process Assistant," to facilitate document queries and element searches.
I identified a system bottleneck, improving backend runtime by 60-70% through caching implementation. Working in a team of 4-8 people, we conducted regular Scrum meetings. I held responsibility for maintaining the Process Assistant and led the BatteryPass and PA-assessment tool projects.

For my bachelor's thesis, I designed and developed the first prototype for the upcoming EU Digital Product Passport for traction batteries, set to become mandatory in the EU in 2027. This project was conducted in the context of the '[Battery Pass](https://thebatterypass.eu/)' initiative, an EU-funded consortium aiming to establish a standardized digital passport for greater transparency and sustainability in the battery value chain, from raw materials to recycling.
The goal was to create a system providing verifiable data on production conditions, CO2 footprint, and circularity, accessible to consumers and stakeholders via a simple QR code scan. Key technical implementations included:

• A track-and-trace environment built on a MongoDB database.
• Use of a Fiware-Orion context broker for editable CRUD operations.
• A backend function to calculate the CO2 footprint based on kWh.
• The entire product pass was developed as a widget within Fraunhofer's 'Process Assistant' platform.

The functionality was tested and demonstrated using a Lego learning game to simulate the value chain. The project emphasized high usability and performance, for instance by using a hashmap for efficient search operations.

As a working student in the university's executive office, I was part of the core team responsible for implementing a new Campus Management System (CaMS) at HTW Berlin. My main responsibilities included:

• Providing administrative and organizational support to the project management, including organizing meetings and training sessions.
• Visually preparing presentation materials.
• Maintaining project-related communication channels such as the project homepage (using Typo3) and the project wiki (Confluence).
• Contributing to test management, including test design, execution, and documentation from a student's perspective.
• Advising on the selection of UI components (e.g., radio buttons, checkboxes) for the new web portal.
• Assisting with process documentation.

Thanks to my strong IT skills, I became a valued contact person within the team and was able to effectively represent the students' requirements.

In my Master's program in Computer Science at Humboldt University of Berlin, I specialized in Natural Language Processing and focused my expertise in Data and Knowledge Management.
My coursework provided a comprehensive understanding of both theoretical foundations and practical applications. Key modules included:

• Data and Knowledge Management:
• Introduction to Natural Language Processing
• Deep Learning for Visual Computing
• Process Mining
• Cognitive Robotics
• Process Prediction and Machine Learning
• Implementation of Databases
• Statistics and Data Science
• Model-Based System Development:
• Business Process Automation
• Secure and Reliable Software Systems
• Psychology for Information Systems
• Wireless Communication Systems

This curriculum was complemented by research-oriented seminars on 'Advanced Topics in Human-Computer Interaction' and 'Machine Learning in Robotics', as well as an advanced course in 'Efficient Machine Learning for Natural Language Processing'.

During my Erasmus exchange semester at the Universitat Politècnica de Catalunya (UPC), I focused on advanced topics in Artificial Intelligence. This experience allowed me to deepen my understanding of cutting-edge concepts and gain international academic exposure. The courses I took there were:

• Advanced Natural Language Processing
• Human-Computer Interaction
• Multi-Agent System Design
• Professional Practice in Artificial Intelligence
• Machine Learning
• Spanish (Level A2)

The Computational Science and Engineering program at HTW Berlin is an interdisciplinary course of study at the intersection of computer science, engineering, and mathematics. It provides a broad foundation in software development while integrating core principles from electrical and mechanical engineering.

Here is a complete list of my courses:

• Mathematics
• Algorithms
• Introduction to Computer Science
• Modeling in Computer Science
• Programming
• Database Systems
• Technical Drawing and 2D-CAD
• Design Principles and 3D-CAD
• Construction
• Thermodynamics
• Fluid Mechanics
• Technical Mechanics
• Mechatronics
• Introduction to Materials and Manufacturing Technology
• Project Management
• Scientific Work
• Programming Project
• Software Development Project
• Interdisciplinary Project in Engineering Informatics
• Embedded Systems
• Mobile Applications in Engineering
• Advanced Programming
• Fundamentals of Business Administration
• Legal Principles and Practices for Companies
• 1st Foreign Language: English