Partnering with ILVO and Ghent University, I worked on a hyperspectral imaging research track for about a year. I took over support & development for ISO Group's tulip bulb planting system for one season. In the meantime, I also co-developed a harvesting aid solution for smart glasses. (TensorFlow | Python)
In just 3 weeks, I classified 7 different fish species using transfer learning on images. I was able to achieve a perfect 100 % accuracy on the test set. Six months later I spent one more week to update the codebase to the newest API version and added support for training on GPUs. I was also able to decrease the loss while keeping perfect accuracy, even when there were 2 more classes. (ML.NET | C# || TensorFlow | Python)
Over a time span of six weeks, I improved the accuracy and robustness of vision software for cutting machines. To be more specific, I used Deep Learning on 3D point clouds for part segmentation of seedlings of roses. (TensorFlow | Python)
During six weeks, I was part of the software division in Marelec. I fixed bugs and developed tools that would help them during development, testing, or debugging. (.NET | C & C# || Python)
Five weeks of mechanical assembling experience.
Graduated cum laude (67 %)
Graduated cum laude (68 %).
Graduated magna cum laude (80 %).
I am one of the first members of a recently founded student fraternity called 'Moeder Peerdevisscher'. During the academic year of 2017 - 2018, I was responsible for PR and in the next academic year, I was elected as secretary. I designed their website (moederpeerdevisscher.be) and created a stock exchange system for an annual party 'Capital Booze' (1000 attendees). (HTML, CSS & JavaScript || Java)