Frederik Rietdijk
Senior Data Engineer
Gothenburg, Sweden
Summary
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Top expert inOpen Source Software Development and Security
Frederik Rietdijk is a Senior Data Engineer with 13 years of experience blending scientific research and software engineering, currently building a Python-based cloud data backend for wind asset analytics at NASH Renewables. He holds a PhD in Applied Acoustics and has a strong track record in signal processing, physical modelling and scientific Python tooling, having developed an aircraft auralization simulator and contributed atmospheric acoustics modules to the python-acoustics project. Frederik is comfortable across the stack—from CI/CD, Nix and containerized deployments to distributed computation with xarray and dask—and has led migrations and test-framework initiatives in telecom and industrial settings. He combines curiosity-driven research skills with pragmatic product development—evident in his work at Acosense translating physical models into shipped instrumentation features—and contributes to Nixpkgs in his spare time.
13 years of coding experience
6 years of employment as a software developer
Havo, Natuur & Techniek, Havo, Natuur & Techniek at RSG HoefsmidBachelor of Engineering (BEng), Engineering Physics, Bachelor of Engineering (BEng), Engineering Physics at Haagse Hogeschool/TH RijswijkMaster of Science (MSc), Sound & Vibration, Master of Science (MSc), Sound & Vibration at Chalmers University of Technology
Dutch, English, German, Swedish
Github Skills (5)
python10
acoustics10
documentation10
signal-processing10
scipy9
Programming languages (23)
Github contributions (5)
python-acoustics/python-acoustics
Nov 2013 - Jul 2022
A Python library aimed at acousticians.
Role in this project:
Back-end Developer & Documentation Specialist
Back-end Developer & Documentation SpecialistContributions:554 commits, 182 PRs, 193 pushes in 8 years 8 months
Contributions summary:Frederik's contributions primarily involved implementing and documenting features related to atmospheric acoustics. They added new classes and functions for directivity calculations, incorporating functionalities for cardioid and figure-eight patterns, and wrote documentation. The user also introduced a new module for managing atmospheric conditions, including calculations for speed of sound and attenuation. Additionally, they converted the room package to a module and made enhancements to the signal processing capabilities, including adding features for signal processing and frequency-domain analysis.
python-librarypythondigital-signal-processingacousticsaudio
FRidh/pstd
Apr 2014 - Apr 2022
Implementation of k-space PSTD method.
Contributions:13 commits, 2 PRs, 22 pushes in 8 years 1 month
methodk-space
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