Interests
Data Engineering, the modern data stack, and in the question on how to build a successful data infrastructure
Data Science, NLP, and the effects of Data Science on our society
Software Engineering best practices, such as testing, documentation, readable code and code reviews
Cloud computing
Technologies
Data Science: Python (Scikit-Learn, PyTorch, TensorFlow, Pandas, Numpy), SQL
Data Engineering: dbt, Snowplow, BigQuery, PySpark, Airflow
Web Development: FastAPI, TailwindCSS, htmx, jinja
DevOps: Git, Docker, Github Actions, Terraform (basics)
NLP: Gensim, Spacy, Huggingface
Data Visualization: Looker, Streamlit