Profile

Engineer with over 19 years of computer science (and programming) experience. Academic focus on Machine Learning and Deep Learning since 2012.

📍 Arctic, Norway
of.kd@m ✉️

Education

UiT The Arctic University of Norway

Sep 2024 - Sep 2027

PhD 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 2020

MSc (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 2017

BSc 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 2013

Austrian Higher Technical School in Computer Science

Thesis: "Performance optimisation of computing workloads on GPUs virtualized in the cloud". Graduated with high distinction.

Technical Skills

Programming & Scripting Languages

Python, Elixir, Java, C/C++, TypeScript, SQL, Rust, LaTeX, Bash, Fish, Scala, Ruby. Functional Programming.

Machine Learning & AI

Deep Neural Networks, LLMs, Transformers, CNN, RNN/LSTM/GRU, GANs, Transfer Learning, Optimization Algorithms.

Data Science & Analysis

Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, SciPy, AutoML, NLP (Hugging Face).

Statistics & Econometrics

Causal Inference, Bayesian Methods, Time Series Analysis, OLS, Logistic Regression, 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.