Xander 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
4 years of employment as a software developer
Master in business economics Bedrijfseconomie, Master in business economics Bedrijfseconomie at Ghent University
Best of year award for physics Science - Math (8h), Best of year award for physics Science - Math (8h) at Sint-Barbaracollege
Realtime audio analysis in Python, using PyAudio and Numpy to extract and visualize FFT features from streaming audio.
Role in this project:
Full-stack Developer
Contributions:47 commits, 5 PRs, 45 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.
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Xander Steenbrugge - Co-Founder at Eden Labs, Inc.