Filip Schouwenaars
Member Of Technical Staff at Fliptech BV
Antwerp, Antwerp, Belgium
Summary
🤩
Rockstar🎓
Top SchoolFilip Schouwenaars is a versatile technologist with 11 years of experience blending machine learning, data engineering, and product leadership across startups and research institutes. He has held senior engineering and product roles at DataCamp and served as VP of Product and Engineering, later founding Fliptech to provide end-to-end ML and technical leadership services. Currently a Member of Technical Staff at Conveo and active in Syndicate One, he thrives in ambiguous, fast-moving environments where pragmatic experimentation meets production-grade systems. Filip contributes to open educational tooling—authoring an Introduction to Python course and enhancing Pandas-based data workflows—reflecting a strong commitment to developer-facing data science. His background in electrical engineering and an MSc in Artificial Intelligence gives him an uncommon blend of hardware-aware systems thinking and applied ML research.
11 years of coding experience
10 years of employment as a software developer
Master of Science (MSc) Artificial Intelligence, Master of Science (MSc) Artificial Intelligence at KU LeuvenMaster of Science Exchange Program (Erasmus) Electrical Engineering Information Technology, Master of Science Exchange Program (Erasmus) Electrical Engineering Information Technology at EPFL
Dutch, French, English, German, Spanish
Stackoverflow
195reputation
30kreached
2answers
6questions
Github Skills (15)
data-analysis10
pandas10
scipy10
python10
numpy10
data-science9
computer-vision6
opencv6
eval6
fft6
dplyr6
android6
feature-detection6
enviroment6
java6
Programming languages (14)
Github contributions (5)
datacamp/courses-introduction-to-python
Sep 2015 - Sep 2018
Introduction to Python by Filip Schouwenaars
Role in this project:
Data Scientist
Data ScientistContributions:149 commits, 15 PRs, 40 pushes in 3 years
Contributions summary:Filip contributed to the project by adding and modifying code related to data analysis and manipulation using the Pandas library. They implemented and modified data structures and file handling, likely for data loading and transformation purposes. The user also added dependencies on essential data science libraries like NumPy and SciPy, indicating their involvement in numerical computing and scientific operations.
pythonintroduction-to-pythondata-science
datacamp/pythonwhat
Feb 2016 - Sep 2018
Verify Python code submissions and auto-generate meaningful feedback messages.
Contributions:6 releases, 417 commits, 124 PRs in 2 years 8 months
python-codesubmissionspythonfeedback-systemverify
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