After 15 years in finance and private equity I made a deliberate transition into software development in 2025. Everything on this page was built, learned, or earned since then.

Currently working as a freelance developer and AI automation specialist based in the Netherlands, focused on fintech and data-heavy applications.

Languages: Python · TypeScript · JavaScript · SQL · Rust (learning) · Bash

Python Libraries: asyncio · aiohttp · asyncpg · psycopg2 · BeautifulSoup4 · Transformers · Pandas · Matplotlib · Altair

Frontend: React · Tailwind CSS · Vite · Streamlit

Backend: FastAPI · Node.js

Databases: PostgreSQL · Supabase · CosmosDB

Data & BI: Power BI · Power Query · DAX

AI & ML: Anthropic SDK · RAG pipelines · MCP · Azure AI Foundry · Copilot Studio

Infrastructure: Docker · Proxmox · Linux (Debian) · Git · CI/CD

Cloud: Azure

• Samen Family Planner - TypeScript

Samen, is an application for families to manage their busy schedules, it gives the user one overview of what the whole family is doing during the week. It offers a unique way of viewing the schedule of your family.

• ISA AI Accountant - TypeScript, Azure

ISA AI accountant is a specialized application for audit professionals. It seeks to help them writing memo's, coach junior empolyees, quick search on audit standards and the applicable laws. I have worked on refactoring the frontend, as well as implementing the RAG pipeline.

• Power BI Workforce Analytics Dashboard - Power BI, Power Query

Designed and implemented an end-to-end Power BI reporting solution for a healthcare client. Built the ETL pipeline in Power Query to process approximately 1.5 million rows from multiple CSV exports, created DAX measures and interactive dashboards, and collaborated directly with stakeholders and the external data provider to define reporting requirements. The platform was designed for automated monthly data refreshes and future expansion with automated FTP ingestion and scheduled reporting.

• SCALA - Microsoft Copilot Studio

Scala is a business application I have built for a client that is active in supporting people with their reintegration to their workplace. Scala automated a process that would cost employees 20-30 minutes down to 5 minutes. The bot guides you through the planning of a reintegration and automatically generates a confirmation e-mail, sets calendar invites for deadlines and stores the process and deadlines into an Excel sheet.

• ANON - TypeScript

When I started working with CoCreate I was asked to refactor a large portion of the ANON application. I refactored a quickly generated <div> soup to structured and more maintainable TSX/TS code.

• Fuel Price Data Pipeline - Python, SQL

The fuel price data pipeline is a serious data project. The application collects price data from approximately 180 gas stations in the Netherlands and stores it on the PostgreSQL server that is hosted on my homelab. The data is presented on my the frontend I built for it using Streamlit data summary.

• Fuel Price Dashboard - Python

This repository contains the source code for affore mentioned presentation of the data from the Fuel Price Data Pipeline. This project contains the dockerized FastAPI backend that is installed on my homelab. As well as the dockerized frontend that runs on my VPS.

• Job Application Assistant - Python

This application is an AI powered cover letter generator, you paste in your CV and the job description and AI will help you by generating a draft cover letter. Then you can edit the draft to your liking. Whilst creating this application I was experimenting with local LLM's so I ran a local model and created a FastAPI backend to communicate with the model. The frontend is made with Streamlit.

• Contoso Analysis - SQL

In this project I downloaded the Contoso Dataset and ingested it into my own PostgreSQL database. The goal was to do data analysis but solely using SQL. The project checks three main business KPI's: customer segmentation, cohort analysis and customer retention analysis. The visualizations were made with ChatGPT.

• Real Estate Valuations - Power BI & Power Automate

I automated manual workflows that were previously monitored in Microsoft Excel to an automated data pipeline and visualization. This application fetches data from a REST API, the data is then parsed by Power Automate and saved in a file on SharePoint. From there Power Query handles the ETL process and Power BI handles the visualizations.

• Fluent Python:

As Python is my main programming language I want to further deepen my knowledge of it. Fluent Python is divided into five sections and goes deep into Data Structures, Functions as Objects, Classes and Protocols, Control Flow and Metaprogramming. I am currently on chapter 2 reading about lists.

• Introduction to PostgreSQL:

Unlike the SQL courses I have completed previously, which focused mainly on analytics, Introduction to PostgreSQL dives into the database itself. It covers topics such as installation, configuration, roles, extensions, and server settings. I enjoy learning how PostgreSQL works under the hood, and it has given me a much broader understanding of the platform beyond simply writing SQL queries.

• The Rust Programming Language:

I want to add a fast, static, compiled language to my arsenal so I will take a swing at Rust when I am done with Fluent Python.

• Analyzing Data with Microsoft Power BI and Power Pivot for Excel

The first book I have ever read on Power BI and Power Pivot. It covers data modelling in Power BI. The most used model for Power BI is a star schema hence the book covers a lot about star schema's. However, it also covers working with date and time, slowly changing dimension tables, using snapshots and many-to-many relationships.

• Supercharge Power BI

Where the previous book covers a lot of ground on the theory side, this book makes it really practical. Especially coming from an excel background it teaches you the most important concepts of Power BI as well as the most used syntax for the DAX language.

• Microsoft Power BI Data Analyst Exam Ref PL-300

Helped me prepare for the PL-300 certification by Microsoft.

• Collect, Combine, and Transform Data Using Power Query in Power BI and Excel

Power Query is the ETL tool that ships with Power BI and Excel. I used this book as a reference while working on my Power BI projects. I have read it until chapter 7.

• Data als kompas

I met the author of this book Rob van den Wijngaard who has a great vision on data driven businesses and is advocating for the four-leaf clover data driven organisation. In this data driven business model the customer is in the center of the clover and the organisation culture, processes, people and IT infrastructure are the leafs. The book is inspiring business leaders to think about data driven decision making and the implementation of data driven decision making within their business.

• HTML & CSS: Jon Duckett

This book is one of the core fundaments of web developments. It teaches the most important html elements as well as styling through vanilla CSS.

• JavaScript Crash Course

This book teaches you the most important syntax of JavaScript, the language of the web. The first part is dedicated to learn the syntax, data types, loops and conditionals. The second part teaches about how JavaScript interacts with the DOM. The last part consists of several JavaScript projects to get your feet wet.

• Python Crash Course: Eric Matthes

This is the book that sparked my interest into programming in the first place. Before starting this book I had almost zero experience in programming. Like the JavaScript Crash Course book the first part is introductory to data types, control flow etc. The second part consists of several projects. When I finished the data analysis project I decided to make my own software instead of keep following the book. I am still inclined to make the game some day.

• Automate the Boring Stuff with Python: Al Swiegart

This is a fun book that contains all kinds of small projects to give you some inspiration what you can do with Python. Topics covered are regex, web scraping, organising files on your computer, working with excel sheet, pdf documents, word documents, csv files and json files. Also a fun little project was controlling your computer through sending e-mails to yourself.

• The Linux Command Line: William Shotts

Almost all my computers at home run on the Linux kernel and it is foundational in general computing. This book is great to in teaching you how to navigate your favourite linux-based distro from the terminal. It is extensive and gradually builds up in terms of difficulty. The last part of the book is the most fun part in my opinion this is where William Shotts teaches you shell scripting. You can create scripts to automate things on your operating systems and use shell scripting as glue to execute your favourite shell programs. As I was already familiar with programming when I picked up this book this felt very natural to me and a great way to automate things in the OS itself. One of the fun things to do was operate my desk lavalamp from the terminal.

• Hands-On Large Language Models

Great book about large language models and how they work. It starts off with the groundbreaking "Attention Is All You Need" paper and gives an overview of the historical events that happend in the LLM space. It breaks down tokenization and embeddings and explains transformers. It covers further topics such as text classfication with LLM's, prompt engineering, retrieval augmented generation (RAG) and finishes of with creating your own embeddings and fine-tuning models.

Framework 13:

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