Nils Vos

Data Science & AI Engineer | Industrial Automation Specialist

Data/Software Engineer | Data Science & AI Student | Cybersecurity Enthousiast
Explore My Work

Current Role

FoxBMS Logo

Software/Data Engineer

Developing smart building management systems that optimize performance, enhance comfort, and reduce energy consumption. Working with FOX BMS to deliver innovative building automation solutions for offices, healthcare facilities, educational institutions, luxury yachts, and industrial environments using advanced control technology and IoT integrations.

$ python building_optimization.py --system=foxbms --data=sensors
Building Management Systems Tridium Niagara 4.14 Database Management Linux System Administration Data Engineering Python
9+
Major Projects
94%
Best Model Accuracy
€426
Annual Cloud Cost Savings
16k+
Data Points Analyzed

Education

🎓

Breda University of Applied Sciences (BUAS)

Applied Data Science & Artificial Intelligence

Focus on Machine Learning, Computer Vision, and Industrial Applications

🇦🇹

Upcoming: Austria Master's Program

2-Year Advanced Studies

Continuing education in AI and Data Science

Featured Projects

🏆 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
⚽ 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

Technical Expertise

Machine Learning & AI

  • Deep Learning (TensorFlow, Keras)
  • Machine Learning
  • Computer Vision
  • Natural Language Processing
  • Reinforcement Learning
  • Statistical Analysis
  • Feature Engineering

Industrial Automation

  • Tridium Niagara 4.14
  • IO Block Wiring Diagrams
  • Predictive Maintenance

Cloud & DevOps

  • Azure ML & Container Services
  • Docker & Kubernetes
  • MLOps Pipelines
  • CI/CD Implementation
  • Model Deployment
  • Cost Optimization

Programming & Data

  • Python (Advanced)
  • SQL & PostgreSQL
  • Linux Administration
  • Git Version Control
  • Data Pipeline Development
  • API Development (FastAPI)

Research & Analysis

  • Mixed Methods Research
  • Statistical Hypothesis Testing
  • Survey Design & Analysis
  • Academic Writing
  • Policy Development

Specialized Domains

  • Industrial IoT Systems
  • Cybersecurity Analysis
  • Robotics Simulation
  • Legacy Hardware Restoration

Get In Touch

Ready to collaborate on innovative projects in Data Science, AI Research, Industrial Automation, or Cybersecurity?

Based in Netherlands

Specializing in Building Management Systems • Data Science & AI Student • Cybcersecurity Enthousiast