Siv.ing. in Electronics Engineering, NTNU
Data-Adaptive Time-Frequency Analysis of fMRI BOLD Signals in Anhedonia
Currently exploring video encoding solutions as an R&D Engineer @ Appear ASA.
Core Competencies:
- Signal Processing & Medical Imaging
- Full-Stack Web Development
- Systems Programming
- Embedded Systems
Technologies:
- Languages: Python, TypeScript/JavaScript, Rust, C++, MATLAB
- Frameworks: React, Next.js, Node.js, Express
- Databases: PostgreSQL, MongoDB
- Tools: Docker, Git, OpenCV, scikit-learn
- Kefli - Rust crate implementing consensus-based auction algorithms (CBAA/CBBA) for distributed task allocation in multi-agent systems
- Elevator Control Systems - Distributed elevator management system implementing real-time coordination algorithms
- WaveFormsTk - Python toolkit for enhanced visualization of Analog Discovery oscilloscope measurements
- Medical Imaging Projects - Computed tomography reconstruction and analysis tools for biomedical applications
- Master's Specialisation Project (NTNU): Advanced signal processing research in biomedical engineering as part of final year electronics engineering studies
Email: philip@eglin.no
LinkedIn: linkedin.com/in/ipeglin
StackOverflow: stackoverflow.com/users/ipeglin





