🏆 Production Deployed
🌱 PlantSeg - Agricultural AI Platform
Production-grade plant root segmentation system for NPEC. Features U-Net architecture with ResNet50 encoder, automated retraining pipelines, and both cloud and on-premise deployment. Includes GDPR compliance and EU AI Act risk assessment.
U-Net/ResNet50
Azure ML
FastAPI
Docker
MLOps
GDPR Compliant
🚛 Current Academic Project
DAF Truck Predictive Maintenance
Academic project developing predictive maintenance system for DAF commercial vehicles. Integrating rFMS telematics data, RDW vehicle registration data, and other heterogeneous data sources using CRISP-DM methodology for failure prediction and maintenance optimization.
CRISP-DM
Extensive Data Processing
Heterogenous Data Integration
Predictive Analytics
Academic Research
🚛 Neural Networks
Roadie - Traffic Safety AI System
Advanced neural network system predicting vehicle accidents using telematics data and CRISP-DM methodology. Integrates PostgreSQL data warehouse, feature engineering for g-force calculations, and real-time accident probability assessment with web dashboard.
TensorFlow/Keras
PostgreSQL
ANWB Data
Weather APIs
Neural Networks
🏭 Industrial Automation
Niagara AI Pipeline
AI-powered building automation system integrating machine learning with Tridium Niagara 4.14 for FOX BMS. Features predictive maintenance algorithms, real-time sensor data processing, and automated control optimization for smart building management.
Tridium Niagara
Machine Learning
IoT Integration
Python
Predictive Analytics
🏭 Industrial Automation Tool
ISMA IO Generator
Python-based automation tool for generating Tridium Niagara 4.14 ISMA I/O configurations. Streamlines building management system setup with CSV-driven configuration generation, automated mapping, and batch processing capabilities for industrial IoT deployments.
Python
Tridium Niagara
ISMA Modules
Industrial IoT
Automation
📷 Computer Vision
Depth Camera Processing
Advanced depth camera image processing system for 3D scene reconstruction and spatial analysis. Implements point cloud processing, depth map visualization, and real-time camera calibration for robotics and computer vision applications.
OpenCV
Point Cloud Processing
3D Reconstruction
Computer Vision
Python
⚽ 82% Accuracy
Football Player Value Classification
Gradient Boosting Classifier achieving 82% accuracy for NAC Breda recruitment strategy. Analyzed 16,535 players across 114 features with comprehensive hyperparameter tuning and correlation analysis for identifying undervalued talent.
Gradient Boosting
Ensemble Machine Learning
Scikit-learn
Feature Engineering
Sports Analytics
🎨 90% Accuracy
Art Style Classification CNN
Deep learning model classifying images into 7 different art styles for Innovation Square entrepreneurship competition. Included market research, risk assessment, and user-centered prototype development with potential business pitch to investors.
CNN
Computer Vision
Business Development
Entrepreneurship
🔒 Research Published
SME Cybersecurity & Consumer Trust
Mixed-methods research studying cybersecurity practices' impact on consumer trust. Statistical analysis with Chi-Square testing (p<0.01), thematic analysis of interviews, and policy recommendations for small businesses and regulatory compliance.
Statistical Analysis
Survey Research
Policy Development
GDPR
🤖 Reinforcement Learning
Robotic Simulation & Control
Opentron OT-2 robot simulation with custom Gymnasium environment, PPO agent training using Stable-Baselines3, and PID controller implementation. Includes working envelope determination and precision liquid handling automation.
Reinforcement Learning
OpenAI Gymnasium
PPO Algorithm
PID Control
Robotics
🎥 NLP Pipeline
Dutch Video Emotion Analysis
End-to-end pipeline processing Dutch YouTube videos: audio extraction, Whisper transcription, MarianMT translation, and fine-tuned RobBERT emotion classification. Optimized for batch processing with GPU acceleration.
OpenAI Whisper
RobBERT
MarianMT
Transformers
NLP
🏭 Industrial IoT
Industrial Automation Systems
Comprehensive automation solutions using Tridium Niagara 4.14 with ISMA modules for real-time monitoring and control. Includes IO block wiring diagrams, digital input mappings, and emergency safety protocols for industrial environments.
Tridium Niagara
ISMA Modules
Industrial IoT
Linux Systems
Safety Protocols
