Building Intelligent Energy Systems
About Me
At the intersection of electrical power engineering, quantitative intelligence, and knowledge engineering, I design resilient, adaptive cyber-physical systems that power the energy transition.
RWTH Aachen trained (Business Administration & Engineering — Electrical Power Engineering), I bridge theory and production-grade impact through NeuralBridge, GridOS, and DERIM.
Core Strengths
Programming & Tools
Python (Pandas, NumPy, PyTorch, JAX), React.js & React Native, SQL/NoSQL, Docker, Kubernetes, CI/CD
Analytical Methods
Physics-Informed Neural Networks, Multi-Agent RL, Knowledge Graphs & Ontologies, Time-Series Forecasting, Stochastic Optimization
Domain Expertise
Power Grid Stability & Cybersecurity, DER + V2G Integration, Transactive Energy Markets, IEC 61850 / CIM
Strategic Skills
Life Cycle Assessment, Regulatory Intelligence, Blockchain & Energy DAOs, High-Stakes Project Leadership
Flagship Initiatives
NeuralBridge
Secure, semantically-aware middleware for agentic AI across any enterprise protocol or legacy system.
GridOS
Next-gen digital twin fusing physics simulation, RL agents, and real-time optimization for autonomous grids.
DERIM
Blockchain-native decentralized energy resource platform for P2P trading and virtual power plants.
Building AI Infrastructure
Strategic consulting & implementation for utilities, operators, and innovators ready to dominate the next energy era.
CONTACT ME