Building scalable distributed systems, hybrid physical-data models, and high-impact backend architectures.

Physicist, Software Engineer, and Data Scientist with experience as CTO & Co-Founder, working at the intersection of:

• Distributed systems
• Data-intensive applications
• Geometry processing (LIDAR → BIM)
• Hybrid physical + data-driven modeling

I focus on building systems, not just features — designing architectures that scale, adapt, and deliver real-world impact.

• 🧩 Global file virtualization system
  Content-addressable storage, deduplication, and distributed routing

• 📦 Python packages (PyPI)
  Scientific computing, data integration, and reusable tooling

• 📊 Quantitative investment tooling
  Custom Python modules using yfinance for portfolio optimization

• ⚙️ Scalable backend systems
  APIs, pipelines, and modular architectures

• LIDAR → BIM reconstruction pipelines
• IFC processing and semantic modeling
• IFC Web Viewer (Flask + WebGL + Three.js)

• Data integration tools (Google Sheets APIs)
• Scientific modeling (vapor pressure, numerical tools)
• Domain-specific validation (CINI codes, etc.)
• Developer utilities and package templates

Languages: Python, JavaScript
Backend: Flask, FastAPI, NodeJS
Data & Modeling: NumPy, SciPy, TensorFlow
Geometry: IFCOpenShell, OpenCascade
Cloud: AWS, GCP, Heroku
Frontend: WebGL, Three.js

• Build systems, not scripts
• Design for scalability and resilience
• Prefer modular and composable architectures
• Combine domain knowledge with engineering rigor
• Treat data pipelines as first-class systems

• GitHub: https://github.com/R-Rijnbeek
• PyPI: https://pypi.org/user/R-Rijnbeek/

• Distributed systems & content-addressable architectures
• Scalable geometry processing
• Automated BIM generation
• Hybrid physical + data-driven systems
• Infrastructure for large-scale data transformation