NLP Engineer at Linguistic Research Infrastructure (LiRI) at the University of Zurich.
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Assessing your cultural and operational fit
University of Zurich
Data Scientist
June 19, 2026 – Present
grobid_teixml_to_markdown
August 13, 2025 – October 10, 2025
Convert TEI XML files generated by GROBID to Markdown
View Projecttext-tools
May 23, 2025 – Present
A collection of tools for handling and preprocessing text data
View Projectprompting_exercise
October 15, 2024 – October 21, 2024
LLM prompt engineering exercise for ML4NLP2024
View Projectllm_inference
February 21, 2023 – February 6, 2025
LLM inference with HuggingFace (experimental)
View Projectunderstanding_control_tokens
June 14, 2022 – November 19, 2022
understanding_control_tokens — GitHub repository
View Projectrev-resp-sentalign
December 20, 2021 – February 24, 2022
rev-resp-sentalign — GitHub repository
View Projecttwo-headed-master
October 19, 2019 – July 25, 2020
Development of ASR for ArchiMob, a spoken corpus of Swiss German.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, indicating a strong drive for self-learning and exploration in data science, particularly in NLP/LLMs. However, the lack of diverse team projects or professional experience makes it difficult to fully assess cultural fit. The current role as 'Data Scientist' at the University of Zurich, starting in 2026, suggests a future academic or research-oriented path, which may align with certain data science roles but needs further clarification regarding industry applicability and collaboration experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and there are no psychometric test results or detailed experience descriptions to evaluate these aspects.