CV

University of Innsbruck, Austria

• Conversational Recommender Systems: LLM architectures for dialogue understanding and personalization
• Advisor: Prof. Eva Zangerle

University of Innsbruck, Austria

• Grade 1.0
• Minor in Digital Science (30 ECTS, Grade 1.2): NLP, Machine Learning, Data Science
• Thesis: A Comparative Analysis of AR(1) Bias Corrections and an Innovative Solution for Taming Serial Correlation

LMU Munich, Germany

• Grade 1.9
• Thesis: Shift share instruments and their application in family economics

CASABLANCA Hotel Software • Innsbruck, Austria

• Building and evaluating an LLM-based conversational agent deployed in production for hotel booking and guest services
• Designed the evaluation pipeline: offline benchmarks, error analysis on real dialogue logs

Dept. of Computer Science, University of Innsbruck • Innsbruck, Austria

• Develop LLM-based architectures for dialogue understanding and personalization in conversational recommender systems
• Run large-scale training and inference experiments on HPC/GPU clusters; own the full pipeline from data preparation to reproducible results
• Teaching: Algorithms and Data Structures, Database Systems

Dept. of Statistics, University of Innsbruck • Innsbruck, Austria

• Developed and published an open-source R package for advanced time-series modeling, including documentation and test coverage

Dept. of Political Science, University of Innsbruck • Innsbruck, Austria

• Built NLP pipelines for large-scale text analytics within the European Constitutional Court Network (ECCN)

Personal project

End-to-end agentic system that ingests training and wellness data from Intervals.icu, reasons over load and recovery trends, and generates personalized training plans.

• Closes the loop by writing structured workouts back via API
• Tool-using agent with a sandboxed Python REPL for dynamic data analysis
• Built with FastAPI and LiteLLM (multi-provider LLM routing)