I'm a machine learning student with a deep interest in building AI systems that make decisions, adapt over time, and automate complex tasks. My work focuses on reinforcement learning, AI in finance, and intelligent automation — where models don't just predict, but learn, act, and optimize.
I enjoy turning raw, messy data into insight and action. Whether it's detecting patterns in financial markets, building end-to-end automation pipelines, or designing explainable decision systems, I aim to build AI that works — and works for people.
Let's connect if you're working at the intersection of AI, finance, and automation — or if you share a vision for intelligent, explainable, and data-driven systems.
- 🎓 Master in Machine Learning, University of Bergen (2024–2026)
- 🎓 Bachelor's in Artificial Intelligence, University of Bergen (2021–2024)
- Transformers (GPT, Self-Attention), CNN, RNN
- Logistic & Linear Regression, Decision Trees, Random Forest, XGBoost
- Clustering, SVM, KNN
- Feedforward and Convolutional Neural Networks, LSTM, GANs, MLP
- Word Embeddings (Word2Vec), Time Series Models
- Supervised Learning, Unsupervised Learning, and advanced deep learning methods
- Libraries: Pandas, NumPy, SciPy
- Visualization: Matplotlib, Seaborn, Plotly
PyTorch, PyTorch Lightning, TensorFlow, Scikit-learn, Qiskit (IBM)
- Data Structures, Algorithms, Statistics
- Linear Algebra, Logic, Knowledge Graphs
- Machine Learning, Deep Learning, Reinforcement Learning, AI Ethics
- Quantum Computing
- Project Management, Team Leadership