MSc Engineering Physics @ Uppsala University — computational science and machine learning applied to physics and engineering.
- Engineering intern @ Redpine
- ML research assistant @ Uppsala University
- Bachelor's thesis @ ATLAS / CERN
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
ML research assistant — Uppsala University
U-Net segmentation model that extracts ECG waveform traces from plot images, trained on the PTB-XL dataset — a step toward automatically digitising ECG rhythm data for arrhythmia classification.
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The U-Net architecture (from Ronneberger, Fischer & Brox, "U-Net: Convolutional Networks for Biomedical Image Segmentation", 2015) and the trained model's prediction overlaid on an ECG plot — purple = predicted and true trace agree
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.
MSc Engineering Physics — Uppsala University · Uppsala, Sweden · Sep 2023 – Jun 2028 Specialization: Computational science with an AI profile — deep learning and numerical methods. Selected coursework: Statistical Machine Learning, Probability & Statistics, Computational Finance. GPA (SE): 4.63/5.0 · Credits: 300 ECTS
Exchange Semester — ETH Zurich · Zurich, Switzerland · Feb 2027 – Jun 2027 Department of Computer Science (D-INFK), coursework in mathematics and machine learning.
- 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)