About me, I am an experienced backend developer with a background in Computer Science and Bioinformatics. I have successfully completed my Master’s degree, including a thesis in the field of deep learning titled StratoNet: A Deep Learning Approach to High Content Screening Feature Extraction.
I am now fully focused on my professional career and currently work as a backend developer at Fanstr, where I apply my technical expertise to develop innovative, data-driven solutions.
Tech Stack
Python
PHP
R
JavaScript
CSS
HTML
Work Experience
GripBB / Fanstr
At GripBB / Fanstr, I was responsible for developing and maintaining different backend services and APIs across the real estate sector.
MotoRan V.O.F.
MotoRan was a passion project for me and a good friend of mine. We developed an e-commerce platform that sold motorcycle related products that we manufactured ourselves.
We automated different processes such as inventory management, order processing, and shipping logistics to streamline our operations. As well as a part of the physical production pipeline.
Core Life Analytics
At Core Life Analytics, I worked as a backend developer, focusing on building scalable data processing pipelines and developing analytics applications. Our mission was to empower biologists with data analytics tools by addressing common bottlenecks in biological data analysis. Leveraging combined expertise in high-throughput screening and data science, we developed the StratoMineR data analytics platform.
ORTEC
This internship provided me with valuable experience in data analytics and software development. I worked on developing an ETL pipeline for HOVON data, an acute myeloid leukemia (AML) cohort.
VUmc
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Albert Heijn
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Projects
Fanstr
Early 2025 I've helped to develop and launch a realestate platform.
ff Blazen
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Thesis Research
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MotoRan Kneesliders
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VUmc Research
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