I’m a versatile Data/ML Engineer and habitual tinkerer who builds scalable, user-friendly solutions from the infrastructure up. Driven by a fast-learning mindset, I bridge the gap between DevOps and Intelligence—leveraging a deep stack of Python, TypeScript, Kubernetes, and Cloud architecture to orchestrate production-ready ML/AI systems and autonomous Agents.
Tools & Technologies
A collection of frameworks, tools, and technologies I work with
About
I’m a Data/ML/AI Engineer who thrives in the 'grassroots' stage of a project—building order from chaos when the path forward isn't yet defined. With a foundation spanning Data, AI, DevOps, and Full-Stack, I specialize in architecting end-to-end systems that turn raw data into production-ready impact. I’m a firm believer in Infrastructure as Code (IaC), whether I’m orchestrating Kubernetes clusters or deploying cloud-native pipelines on AWS and Azure. From tinkering with autonomous AI Agents to bridging the gap between complex backend logic and intuitive interfaces, I use a modern stack of Python, TypeScript, and Rust to build scalable solutions that solve real-world problems.
Projects
GUI OS AI Agent Benchmarking
Developed an AI Agent benchmarking framework leveraging Hugging Face’s smolagents to evaluate agent performance within a secure, sandboxed GUI OS environment.
Open Data Platform
A cloud-agnostic open data platform architected on Kubernetes. It leverages Pulumi and Python as Infrastructure-as-Code (IaC) to dynamically provision nodes and storage, ensuring seamless deployments across any VPS or cloud provider.
Experience
Team Rockstars IT
Data, ML & AI Engineer
May 2025 – Present
- Employed as a consultant focusing on data engineering, machine learning, and AI solutions for enterprise clients.
Rabobank
Data Scientist | AI Engineer • Apr 2026 – Present
- Part of the Agentic team.
- Building agentic workflows and setups to automate complex internal processes.
TenneT TSO
Data Engineer | ML Engineer • May 2025 – Dec 2025
- Worked on a critical data migration project, moving from an on-premise solution to an Azure cloud data platform.
- Built robust data pipelines to ingest and process data across various external and internal sources.
- Leveraged Azure, Azure Databricks, PySpark, and Azure Data Factory.
PostNL
Data Scientist | Software & AI - Engineer
Feb 2024 – May 2025
- Transitioned to internal employee.
- Led the development of the internal Data Science Portal using AWS CDK and CI/CD pipelines — now hosting 40+ Data Scientists and 30+ production apps.
- Created the initial PostLit Python package for integrating Streamlit dashboards into the PostNL ecosystem.
- Developed PostNLChat, an internal ChatGPT-like interface, and built a GenAI workflow that automates call summaries for the sales team.
Aurai
Data Engineer Consultant
Feb 2022 – Feb 2024
- Joined Aurai to specialize in Data Engineering, starting with an intensive traineeship before transitioning to client-facing consultancy.
PostNL
Data Scientist | Data Engineer • Jun 2022 – Feb 2024
- Delivered insights via dashboards and reports to support data-driven decisions.
- Guided stakeholders on data architecture and integration strategy.
- Maintained and extended ETL pipelines and managed data lake ingestion in AWS.
- Improved operational efficiency by embedding data-driven workflows.
Data Engineering Traineeship
Trainee • Feb 2022 – Jun 2022
- Completed a rigorous, intensive bootcamp focused on Data Engineering principles and modern data stacks.
- Gained hands-on experience with cloud infrastructure, ETL/ELT pipelines, and advanced Python.
- Successfully transitioned into a full-time consultancy role.
Education
Universiteit van Amsterdam
MSc. Informationstudies: Data Science
2023 – 2025
- Specialized in Data & Machine Learning Engineering and Data Science, AI Agents
- Completed my master while working
Master Thesis
Researcher • Feb 2025 – Jul 2025
- Created a AI Agent benchmarking framework for agents that perform tasks in a full GUI OS sandbox
- Open sourced the benchmarking framework here
Universiteit van Amsterdam
BSc. Informatiekunde
2018 – 2021
- Core focus on data structures, algorithms, software engineering principles and data science work
Minor Artificial Intelligence
Minor • Dec 2020 – Mei 2021
- Completed coursework in statistical learning, calculus, linear algebra, ML/AI topics,
