As Lecturer (09/2023 – 01/2024): Designed and delivered a new MSc-level NLP module for 30 students, creating the curriculum from scratch and managing all lectures, assignments, and exams.
As Tutor (01/2024 – 06/2024): Mentored an MSc student through their thesis on Retrieval-Augmented Generation (RAG) for helicopter certification, in partnership with Airbus Helicopter.
Data Scientist Intern
BMW Group
Development of an anomaly detection system based on time-series data from BMW cars. Deployed a real-time, explainable and quantifiable solution at the scale of the BMW fleet with PySpark and AWS, replacing a low-performing LightGBM model.
Data Scientist Intern
CEWE
Development of a multilingual BERT model for text classification achieving a 90% F1-score across 14 classes and 3 languages. Built an active learning platform with Dash and implemented temperature scaling to ensure the model’s long-term sustainability and calibration.
Data Scientist Intern
CEWE
Shipped two projects: an aspect-based sentiment analysis pipeline with BERT and a time series model using NeuralProphet to forecast customer service traffic.
Education
PhD (BMW ProMotion Program)
TU Wien
Research in efficient deployment of end-to-end autonomous driving models.
MSc Computational Statistics and Machine Learning
University College London
Thesis on Memory Augmentation for Agentic Language Models. Supervised by Prof. Tim Rocktäschel.
Yearly Average: 78.5% (Distinction)