Profile
Engineer with over 19 years of computer science experience. Academic focus on Machine Learning and Deep Learning since 2012.
Education
UiT The Arctic University of Norway
Sep 2024 - Sep 2027PhD in Machine Learning
Fellowship at the Norwegian Center for Knowledge Driven Machine Learning (Integreat). Researching latent spaces in LLMs.
University of Oxford - Mansfield College
Oct 2018 - Jan 2020MSc (by Research) in Engineering Science
Thesis: "Machine Learning Based Financial Statement Analysis". Full scholarship from the Oxford-Man Institute. Finished in half the normal time.
Vienna University of Economics and Business
Sep 2014 - Aug 2017BSc in Economics
Thesis: "Deep Learning Fundamental Market Valuations." Focus on Quantitative Economics and Econometrics. Top 1% of students.
HTL St.Pölten - EDVO/Informatik
Aug 2008 - Jul 2013Austrian Higher Technical School in Computer Science
Thesis: "Performance optimisation of computing workloads on GPUs virtualized in the cloud". Graduated with high distinction.
Overview Technical Skills
Programming & Scripting Languages
Python, Elixir, Java, C/C++, TypeScript, SQL, Bash, Fish, Scala, Ruby, LaTeX. Functional programming enthusiast.
Machine Learning & AI
Neural Networks, Transformers, CNNs, RNNs/LSTMs/GRUs, GANs, Transfer Learning, RFs, information theory.
Data Science & Analysis
Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, SciPy, AutoML, NLP.
Statistics & Econometrics
Causal Inference, Bayesian Methods, Time Series Analysis, OLS, GLM, SVM, Gaussian Processes.
DevOps & Cloud
Docker, Kubernetes, Terraform, AWS, Azure, GCP, CI/CD, Microservices, Serverless.
Data Engineering
PostgreSQL, Snowflake, Redshift, Airflow, dbt, Vector DBs, Spark, Kafka.