Technical University of Munich (TUM)
In October 2022, I began my Master's in Informatics at TUM.
I worked diligently during the first two semesters to acquire a strong AI and Software Engineering foundation.
Since then, my primary focus is Machine Learning, where I took courses such as Machine Learning and Deep Learning,
participated in a Master's practical course on Machine Learning in Crowd Modeling and Simulations, and collaborated
with a start-up called Visonation on an interdisciplinary project to develop an
evolutionary algorithm for automatic interior design.
After laying the groundwork for my specialization, I focused on NLP and Legal Tech. I attended
a seminar
focusing on the EU's AI Act Proposal, where I learned about the legal and ethical implications of AI.
Then, I took the course "Legal Data Science and Informatics" to understand some of the most essential legal
applications of AI. I am attending
a practical course on Legal NLP, where we focus on building a
prompt optimization model for legal text classification.
- My main area of specialization: Machine Learning and Analytics
- My first support area of specialization: Engineering Software-intensive Systems
- My second support area of specialization: Formal Methods and their Applications
TUM Future Learning Initiative
In April 2023, I submitted an innovative idea to the TUM Future Learning Initiative on how to make lectures more engaging for students. My proposal was selected as one of the top 3 winners Therefore, my idea will be implemented into practice at the university.
