MSc Engineering Physics @ Uppsala University — computational science and machine learning applied to physics and engineering.
- Engineering intern @ Redpine — retrieval systems at the intersection of semantic search and agentic methods
- ML research assistant @ Uppsala — arrhythmia classification models trained on 3M+ ECG recordings
- Bachelor's thesis @ ATLAS / CERN — neuromorphic ML for signal detection in LHC data
Engineering intern — Redpine, Stockholm Improving retrieval systems by layering agentic methods over semantic search, and building agentic evaluations to quantify retrieval quality.
ML research assistant — Department of Information Technology, Uppsala University Developing deep learning models that classify cardiac arrhythmias from 3M+ ECG recordings, mapping rhythm disorders to their electrical signal patterns to support clinical decisions.
Bachelor's thesis — ATLAS Particle Physics Group, Uppsala University
Developed neuromorphic learning models to detect and reconstruct particle signals from data collected at CERN's Large Hadron Collider. Benchmarked neural network architectures on large-scale, sparse, high-multiplicity physics datasets.
Particle track reconstruction in LHC detector data using a two-stage filtering neural network
Spiking neural network neurons learning to fire — membrane potentials and spike events over time
Multi-agent disinformation tracker — Top 5, Google × Epiminds Hackathon A multi-agent retrieval system using Claude to scrape and analyse web sources in real time for disinformation detection.
VSCode developer assistant — 2nd place, KTH AI Society × Florent Venture Hackathon A VSCode extension with a React frontend and a Claude-powered backend for real-time developer assistance.
Open-source eye tracker — Winner (local round), Antler's National Start-up Buildathon Built in React, capturing and storing gaze-coordinate data for cognitive analysis.
A physics and mathematics foundation with a computational science and AI specialisation — probabilistic ML, numerical methods, and scientific computing.
Numerical solution of the 2D acoustic wave equation using SBP-projection methods
Course projects, research code, and hackathon submissions. Mostly Python, kept readable and reproducible.
- ML & AI: PyTorch · scikit-learn · LLMs & API integration · RAG & retrieval · multi-agent systems
- Data & engineering: Python (NumPy, SciPy, Pandas) · SQL · Git/GitHub · Linux/Bash
- Scientific: MATLAB · LaTeX · numerical methods · HPC (SLURM)