Open to opportunities
Engineering Student in AI & Data · Nærum, Denmark
I'm an AI & Data engineering student at DTU with a strong passion for building things — from machine learning pipelines to embedded hardware systems.
My background spans computer vision, IoT, and software engineering, shaped by both academic projects and hands-on personal builds. I enjoy working at the intersection of software and the real world.
Currently finishing my BSc at DTU Lyngby, I'm looking for opportunities where I can contribute meaningfully and keep growing. Outside of tech, my hobbies include strength training, running, swimming, and climbing to keep me sharp.
DTU course project on segmenting Natural Killer cells in fluorescence microscopy images. Implemented an OpenCV baseline (62.49% IoU) and two U-Net models in PyTorch — achieving 80.35% IoU with a supervised ResNet50 encoder and 78.85% with a self-supervised DINO-pretrained ResNet18, using nested cross-validation on 41 annotated images.
View Project →Secure smart-locker combining motion detection, RFID access tokens, and PIN authentication with alarm functionality. Three ESP8266 microcontrollers communicate via MQTT to a Node-RED server handling UID validation, PIN verification, event logging, and an admin dashboard.
View Project →Python Discord bot integrating multiple ML models: Stable Diffusion for image generation, CLIP for image classification, and Whisper for audio transcription. Managed GPU/CPU resource allocation and built a command system for generating images, GIF sequences, and transcriptions.
View Project →HTX final exam project in Python: a linear algebra library with matrix and vector classes featuring operator overloading, matrix–vector multiplication, constant scaling, and type checking. Documented with Doxygen, benchmarked with timing measurements, and results exported to Excel.
View Project →Current programme covering machine learning, data science, software engineering, and embedded systems. Key projects include computer vision research using U-Net architectures and IoT systems with microcontrollers.
Specialised in Robotics Technology with a GPA of 10.3. Developed foundational skills in electronics, programming, and technical problem-solving, culminating in the SOPHTX linear algebra library project.
Whether you have a role in mind, a project to discuss, or just want to say hello — my inbox is open.
mathiaskes@eksworld.dk