📚 Education

M.Sc. Computer Science - Technical University of Munich (TUM)

2022 - 2025

Specializing in Data Science & AI, focusing on AI in healthcare and responsible AI development.

B.Sc. Computer Science - Ludwig Maximilian University of Munich (LMU)

2018 - 2022

Minor in Human-Computer Interaction, graduated with distinction (GPA: 1.18).

💼 Professional Experience

AI & Data Science 💡

AI Engineering Working Student - Ocumeda

Oct. 2024 - Present

✨ Refactored and generalized Python codebases to improve scalability and maintainability.
✨ Implemented advanced machine learning algorithms to enhance anomaly detection in ophthalmic images.

Data Science & Engineering Working Student - Cobrainer

May 2023 - Oct. 2024

✨ Increased curation efficiency by 92%, reducing processing time from avg. 1 hour to 5 minutes per skill, by researching and implementing advanced algorithms for near-duplicate detection.
✨ Developed and deployed Natural Language Processing models using Python and AWS, handling data collection, preprocessing, and fine-tuning to create a scalable tool used daily by curators.

Applied Mathematics & Data Science Intern - Høgskulen på Vestlandet

Sept. 2022 - Oct. 2022

✨ As a research assistant, mathematically resolved time inconsistencies in eye-tracking data using Python and SQL, and explored machine learning algorithms for eye disease detection.

AI/NLP Intern - BMW

Oct. 2021 - June 2022

✨ Increased user engagement by 66% by developing and improving a JavaScript web application.
✨ Conducted statistical evaluation of language models (BERT, Fasttext) for text similarity detection in an internal tool used for processing legal texts, improving information retrieval accuracy with R.

Teaching & Research 📚

Teaching Assistant - LMU (Implementation of Programming Languages)

Apr. 2021 - Sept. 2021

✨ Supervised students in imperative programming, focusing on syntax and semantics with Haskell.

Market Research & Other Experience 🌍

Service Staff - Talent Garden GmbH

Aug. 2018 - Jan. 2019

✨ Worked as a waitress and assisted in coordinating service operations, including leading a small team in a lounge at the Allianz Arena.

Qualitative Market Research Intern - Happy Thinking People

May 2018 - July 2018

✨ Conducted in-depth qualitative data analysis to extract consumer insights, supported project organization, and facilitated group discussions and interviews with clients to enhance research outcomes.

Quantitative Market Research Intern - DCORE GmbH

Dec. 2017 - Mar. 2018

✨ Collaborated with Data Scientists to analyze and process quantitative research data, developed online communities, and assisted in study design and implementation, including image processing for data visualization.

🤝 Volunteering & Leadership

Head of Events - Women in CS @ TUM

2022 - Present

Organizing career fairs, networking events, and mentorship programs to support women in tech.

Core Member - Google Developer Group

2024 - Present

Building inclusive tech communities and hosting AI-related events.

Member - OneAIM (AI in Medicine)

2023 - Present

Bridging AI & medicine; won first place at an AI & Healthcare Hackathon.

Volunteer - Kinderschutzbund

2019 - Present

Leading media literacy courses in primary schools and supporting underprivileged children.