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omari91/README.md

Hi, I'm Clifford Ondieki πŸ‘‹

Power Systems Engineer | IEEE Best Paper Award Winner

ORCID LinkedIn Portfolio


πŸ”‹ What I Do

Building production-grade grid digital twins for Germany's energy transition. Specialized in real-time systems, VDE-AR-N 4110 compliance, and Monte Carlo validation.

M.Sc Engineering (2026) | Based in Berlin, Germany πŸ‡©πŸ‡ͺ


πŸ† Recent Achievements

  • πŸ₯‡ IEEE ETECOM 2025 Best Paper Award β€” Intelligent Transportation Systems Track
  • πŸ”‹ Berlin Grid Digital Twin β€” Production-grade implementation with <50ms physics loop & validated compliance
  • πŸ“Š Monte Carlo Robustness Testing β€” n=50 runs with documented AR(1) uncertainty models

πŸ› οΈ Tech Stack

Power Systems: Pandapower, AC Power Flow, Voltage Stability Analysis, Thermal Loading
Programming: Python, NumPy, Pandas, Matplotlib, Seaborn
DevOps: Docker, GitHub Actions, CI/CD, pytest, mypy
Compliance: VDE-AR-N 4110, Β§14a EnWG, Redispatch 3.0
Real-Time Systems: <50ms loop, 56M ops/sec throughput validation


πŸš€ Featured Projects

Production-grade digital twin demonstrating VDE-AR-N 4110 & Β§14a EnWG compliance with validated real-time performance.

Key Features:

  • ⚑ Real-time streaming architecture (<50ms physics loop, 50Hz grid-compliant)
  • πŸ“Š 56M ops/sec throughput validated on x86_64 Linux
  • 🎯 Multi-strategy controller benchmarking (Hard Cutoff, Linear Droop, Fuzzy Logic)
  • πŸ”¬ Monte Carlo robustness testing (n=50) with AR(1) uncertainty models
  • βœ… Multi-constraint physics validation via Pandapower AC power flow
  • πŸ—οΈ Production-ready CI/CD architecture (pytest, mypy, Docker)

πŸ“š Research & Publications

Electric Vehicle Charging Infrastructure Optimization in Berlin: A Fuzzy Multi-Objective Framework for Robust Deployment Under Uncertainty
IEEE ETECOM 2025 Conference β€’ Best Paper Award Winner
View on ORCID


πŸ’Ό Open to Opportunities

🎯 Seeking: Grid Engineering, Power Systems, Automation Technology roles
πŸ“ Location: Berlin, Germany (EU work authorization)
πŸŽ“ Graduation: First half of 2026

Target Areas:

  • Power Systems Engineering & Grid Resilience
  • Real-Time Control Systems & Edge Computing
  • Energy Regulation Compliance (VDE, Β§14a EnWG)
  • Digital Twin Development & System Validation

πŸ“« Connect With Me

"Building the infrastructure for Germany's renewable energy future, one validated simulation at a time."

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  1. berlin-grid-project berlin-grid-project Public

    Real-time grid digital twin for Germany's energy transition. Features <50ms physics loop, VDE-AR-N 4110 compliance validation, Monte Carlo robustness testing (n=50 AR(1) uncertainty), and productio…

    Python 1

  2. cim-grid-control-engine cim-grid-control-engine Public

    A hybrid physics-software engine for distribution grid analysis, featuring Forward-Backward Sweep solvers, Fuzzy Logic Volt-VAR control, and Hosting Capacity analytics. IEC 61970 (CIM) compliant.

    Python

  3. serverless-grid-compliance serverless-grid-compliance Public

    Cloud-native grid compliance automation using AWS Lambda and Pandapower. Validates VDE-AR-N 4110 voltage stability through serverless AC power flow simulations for Redispatch 3.0 operations.

    Python

  4. Prof-it/geo-spatial-Berlin-EVC-placement Prof-it/geo-spatial-Berlin-EVC-placement Public

    This project provides tools to simulate and visualize the optimal placement of Electric Vehicle (EV) chargers in Berlin using NSGA-II optimization. Tech: Python, Geopandas, Pymoo, Folium

    Python 1