Paul Van Gent
Sr. Engineer at NATO Communications and Information Agency (NCI Agency)
Randstad, Netherlands
Summary
👤
Senior🎓
Top SchoolPaul Van Gent is a senior software engineer and data scientist with nine years of experience building backend systems, sensor-processing pipelines, and machine learning solutions across academia, consultancy, and defense. He holds a PhD from TU Delft where he developed large-scale sensor ingestion and driver workload estimation systems, and has a track record of translating physiological signals into robust analytics—evidenced by his contributions to a Python heart-rate analysis package improving peak detection and filtering. At FreshMinds he led and coached a Python group while delivering AI training to technical and business teams, and he now applies that blend of research rigor and practical engineering at the NATO Communications and Information Agency. Paul combines embedded development, C++/Python backend engineering, and hands-on ML instruction, making him adept at taking projects from device firmware through to production analytics. A pragmatic collaborator, he often surfaces novel measurement solutions from his background in cognitive psychology and sensor research.
9 years of coding experience
11 years of employment as a software developer
Master's Degree, Cognitive Psychology, Master's Degree, Cognitive Psychology at Leiden UniversityVWO, Natuur&Gezondheid, VWO, Natuur&Gezondheid at Northgo CollegeTU DelftB.Sc., Psychology, B.Sc., Psychology at Universiteit Leiden
Github Skills (9)
algorithm10
algorithms10
filtering10
filter10
python10
scientific-computing10
numpy10
data-analysis10
scipy9
Programming languages (3)
Github contributions (5)
paulvangentcom/heartrate_analysis_python
May 2017 - Aug 2022
Python Heart Rate Analysis Package, for both PPG and ECG signals
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 releases, 2 reviews, 304 commits in 5 years 4 months
Contributions summary:Paul primarily worked on the core Python code for the Heart Rate Analysis package. Their commits focused on implementing improvements to the peak detection and analysis algorithms, including adding new filtering methods, modifying existing peak detection routines and fixing potential issues within the main analysis pipeline. They also refactored code and enhanced the analysis process.
ppgheart-ratepythonheartrateheart
paulvangentcom/heartrate_analysis_Arduino
Jul 2018 - Apr 2019
Contributions:43 commits, 32 pushes, 1 branch in 9 months
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