Master’s student in Artificial Intelligence at the Norwegian University of Science and Technology (NTNU) with a B.Sc. in Computer Science and strong interests in deep learning, evolutionary computation, optimization, and computational finance. My academic background includes both theoretical and applied AI, with experience in machine learning, probabilistic reasoning, bio-inspired methods, and visual computing. My upcoming master’s thesis explores bio-inspired artificial intelligence for portfolio optimization in finance. Having lived 13 years in Canada, the United States, and the United Arab Emirates, I have developed strong cross-cultural communication skills and native fluency in English and Norwegian.
M.Sc. in Artificial Intelligence 2025–2027
Norwegian University of Science and Technology (NTNU)
B.Sc. in Computer Science 2022–2025
Norwegian University of Science and Technology (NTNU)
Introduction to Machine Learning, Artificial Intelligence Methods, Bio-Inspired Artificial Intelligence, Introduction to Artificial Intelligence, Visual Computing Fundamentals, Programming Languages
Programming: Python, Rust, Java, JavaScript, C#, SQL
Machine Learning / AI: Neural Networks, LSTMs, Transformers, Supervised Learning, Unsupervised Learning, Gradient-Based Optimization, Dimensionality Reduction, Model Training and Evaluation
Probabilistic / Symbolic AI: Probabilistic Reasoning, Bayesian Networks, Rule-Based Reasoning, Case-Based Reasoning
Evolutionary Computation / Optimization: Evolutionary Algorithms, Genetic Algorithms, Memetic Algorithms, Bio-Inspired Optimization, Constrained Optimization, Combinatorial Optimization
Applied Areas: Financial Time-Series Analysis, Computational Finance, Computer Vision, Image Analysis, Augmented Reality Systems, Routing and Scheduling Problems
Tools: Unity, Git
Norwegian Native
English Native
Spanish A2
German A2
You can view the full CV here.
