Xander Steenbrugge
AI Engineer at Wintercircus Ghent
Ghent, East Flanders, Belgium
Summary
🤩
Rockstar🎓
Top SchoolXander Steenbrugge is a co-founder and machine learning researcher with nine years of experience applying deep learning to real-world problems across computer vision, NLP, audio analysis and robotics. Based in Ghent, he blends academic rigor—stemming from EEG-focused master’s research and ongoing PhD work in deep reinforcement learning—with hands-on engineering using TensorFlow, PyTorch and Google Cloud. He has led applied-research efforts at ML6 and consults on diverse projects while building startups (WZRD, Eden Labs) that push audiovisual experiences with AI. An active communicator and educator, he runs the Arxiv Insights channel and contributes practical open-source tools like a real-time PyAudio FFT pipeline, illustrating a knack for turning research ideas into live demos and production-ready systems.
9 years of coding experience
11 years of employment as a software developer
Master in business economics, Bedrijfseconomie, Master in business economics, Bedrijfseconomie at Ghent UniversityBest of year award for physics, Science - Math (8h), Best of year award for physics, Science - Math (8h) at Sint-Barbaracollege
English, French, German, Dutch
Stackoverflow
81reputation
4kreached
2answers
1question
Github Skills (6)
fftw10
fft10
python10
numpy10
scipy9
tensorflow6
Programming languages (8)
Github contributions (5)
aiXander/Realtime_PyAudio_FFT
May 2020 - Sep 2022
Realtime audio analysis in Python to extract audio features from streaming audio and send them over OSC to any client app.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:47 commits, 5 PRs, 62 pushes in 2 years 4 months
Contributions summary:Xander primarily refactored and improved the codebase for a real-time audio analysis application. They made significant changes to the `stream_analyzer.py` and `src/utils.py` files, indicating a focus on audio processing logic and utility functions. Additionally, the user addressed dependencies and made modifications to visualization components, suggesting full-stack development efforts.
audioaudio-analysispythonstreaming-audiorealtime-audio
aiXander/CLIP_assisted_data_labeling
Apr 2023 - Apr 2025
Repository to quickly label lots of images using CLIP embeddings
Contributions:101 pushes, 1 branch, 1 comment in 2 years 1 month
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