Third-year computer science student and assistant researcher in AI/ML, specialising in cybersecurity with a minor in AI from spring 2027. Interested in trustworthy machine learning, secure systems and ML for network security.
Contributing to AI and machine learning research, research software and scientific publications. Researching retrieval-augmented generation (RAG) for grounding LLM output in domain-specific data; evaluating chunking strategies and retrieval quality in Python.
GPA: 8.67/10 · Class rank: top 6%
TTM4105 — Access and Transport Networks
TDT4106 — Introduction to Artificial Intelligence
IIK3100 — Security, including a capture-the-flag (CTF) challenge series
Information systems group project (team of 5) — redesigning a university teaching process with generative AI, modelled in BPMN
Retrieval-augmented generation for grounding LLM output in domain-specific data.
Isolation Forest for anomaly detection in network traffic.
Dijkstra's algorithm with adjacency matrix and adjacency list representations on sparse and dense graphs.
A fast, keyboard-first notes app built to learn CRDT-based sync from scratch.