As a full-stack AI Engineer with a passion for creativity, I love to design and build innovative PoCs using the latest in AI. I develop practical end-to-end solutions in Python, and I am well-versed in DevOps and Agile Scrum methods. My strengths include effective communication and a strong desire to learn and share knowledge. When it comes to developing intelligent systems, you can count on me to deliver top-notch results.
06-2022 – present
Data Scientist – Sogeti: at Sogeti, I was seconded to various clients, and while on the bench I certified for Scrum (PSM-I) and Azure (AZ-900 & AI-900).
• Infrastructure Engineer – Ministry of Economic Affairs: at the Dutch national CSIRT-DSP I designed part of the infrastructure, developed IntelMQ bots, Docker containers and APIs.
• Deployment Coordinator – Provincie Drenthe: for the 2023 provincial elections I coordinated the device rollout for Members of the States which includes planning, keeping stakeholders in the loop and teaching and supporting end users.
• Web App for Eritreans – Sogeti/Iederz: I helped plan and develop a Flask REST API, MySQL database and Docker containers which I deployed in Azure cloud.
• Brain-Computer Interface – Sogeti: as a Scrum Master, Internship Supervisor and Data Scientist I helped research an ensemble model that predicts actions from EEG data.
11-2021 – 05-2022
AI Engineer – Klippa: responsible for improving ID document recognition, object detection, address parsing and its data structures, and implementing intelligent algorithms. My work led to significant improvements for ID document recognition.
2019 – 2021
Machine Learning Engineer – Slimmer AI: for my Master's thesis I crafted a 6L5K Music Corpus and built a system that can identify the sung language of a music track using mel spectrograms and MFCCs of 3-second fragments containing vocals.
App Development – Monochrome: taking matters into my own hands, I developed and published a specialized Android camera app supporting Sony's proprietary camera framework with support for gesture control.
2017 – 2021
Master of Science – Artificial Intelligence: I specialized in Computational Intelligence & Robotics and graduated with my thesis: "A Machine Learning approach to Automatic Language Identification of vocals in music".
University of Groningen
2013 – 2017
Bachelor of Science – Artificial Intelligence: I graduated with my thesis: "Improving natural image denoising using a multilayer perceptron".
University of Groningen