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Janco van Eeden

Machine Learning Engineer | Tech Enthusiast | Lifelong Learner

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About Me

I hold a Bachelor of Engineering (Computer Engineering), specialising in a real-world application of machine learning and computer vision optimised for resource-constrained microcontrollers. Motivated by the field's rapid progress, I am eager to learn, study, and apply engineering techniques.

I completed a Master of Engineering degree in 2025. As a member of the University of Pretoria's Intelligent Systems Research Group, my research focused on 3D object detection with novel view synthesis pipelines.

I am currently working on a real-time computer vision project at Maturus Digital, where I am responsible for developing and optimising machine learning algorithms for real-world applications.

My Skills

Programming

Python · C/C++ · Java · Delphi · ASM · SQL · Swift

Frameworks

PyTorch · PostgreSQL · Git · Docker · Qt · Tensorflow

Hardware

Embedded systems · Sensors · FPGAs · Actuators

My Projects

A collection of projects I have built.

3D Object Detection Using Discrete Radiance Field Representations via Sparse-Dense Convolutional Neural Networks

Developed a novel 3D object detection method using discrete radiance field representations (NeRF, 3DGS, SVRaster) and sparse-dense convolutional neural networks.

6GB VRAM CUDA 11 PyTorch 2.1
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Real-time Autonomous Smart Camera for Lectures

A fully autonomous smart camera designed to detect and track lecturers during presentations. The system utilises YOLOv3 for object detection and KCF for real-time tracking. The computer vision algorithms was implemented from scratch (only NumPy) to run on embedded systems.

Cortex-A73 2GB STM32 Analog Servo Motors 5MP Camera
Lecture camera hardware Classroom tracking view 1 Classroom tracking view 2 Classroom tracking view 3

Get In Touch

LinkedIn
LinkedIn jancoveeden
GitHub GitHub
GitHub jancoveeden