Oege Dijk
Staff AI Engineer at Zeno
Rotterdam, South Holland, Netherlands
Summary
🤩
Rockstar🎓
Top SchoolOege Dijk is a Lead AI Engineer with nine years of industry experience building end-to-end ML and AI products, currently driving LLM-powered pipelines and evaluation tooling for maritime logistics at Marcura. He has a track record of shipping diverse data products—dynamic pricing, edge recommenders, fraud detection and agentic assistants—and excels at turning business problems into production systems. Previously a Thoughtworks lead, he combines hands-on async backend development with product and eval design at startups and enterprises. With a decade of academic research in economics and behavioural finance, he brings rigorous experimental thinking to model design and incentives. An active open-source maintainer—author of explainerdashboard and contributor to dtreeviz—he focuses on explainability and practical ML tooling. He enjoys tackling hard problems in small teams and has an unusual background that spans silent meditation retreats to XGBoost compatibility patches.
9 years of coding experience
13 years of employment as a software developer
MSc International Economics, MSc International Economics at Università di Roma Tor VergataMachine Learning Engineer nanodegree, Machine Learning Engineer nanodegree at UdacityPhD Economics, PhD Economics at European University InstituteBa International Relations, Ba International Relations at University of Groningen
English, Dutch, Italian, western frisian
Stackoverflow
31reputation
3kreached
2answers
0questions
Github Skills (21)
data-visualizations10
xgboost10
xai10
python10
scikit10
machine-learning10
data-visualisation10
explainable-artificial-intelligence10
dashjs10
scikit-learn10
decision-tree10
data-visualization10
data-science9
shap9
visualization8
Programming languages (4)
Github contributions (5)
oegedijk/explainerdashboard
Feb 2020 - Jan 2023
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
Role in this project:
Data Scientist
Data ScientistContributions:84 releases, 13 reviews, 1119 commits in 2 years 10 months
Contributions summary:Oege primarily worked on the `explainerdashboard` project, which focuses on explainable AI dashboards, suggesting a data science role. Their commits show involvement in refining the user interface with more control over visualization elements. This is indicated by edits to components that handle the visualization and display of model-related information.
aimachine-learning-modelsdashshap-valuesdashboard
parrt/dtreeviz
Dec 2020 - Jan 2021
A python library for decision tree visualization and model interpretation.
Role in this project:ML Engineer
ML EngineerContributions:5 reviews, 6 commits, 3 PRs in 1 month
Contributions summary:Oege focused on enhancing the `dtreeviz` library's capabilities to support different machine-learning models. Their contributions primarily involved adding compatibility for XGBoost models, including `XGBClassifier` and `XGBRegressor`. They also addressed optional dependencies, allowing users to install the library without needing XGBoost or PySpark if not required. These changes improved the library's versatility and ease of use for a broader range of machine-learning applications.
decision-treepythonvisualizationmachine-learningscikit-learn
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.