Clifford

Clifford Omari’s Portfolio

🚀 Update: This portfolio has moved to www.cliffordomari.com. You’ll be redirected automatically, but please update your bookmarks.

Welcome to my portfolio repository. This space highlights my work at the intersection of Electrical & Electronic Engineering, power systems, EV infrastructure optimization, and system development, showcasing research, technical builds, and results from both academic and product-operations environments.

🏆 Awards & Recognition

IEEE Best Paper Award — Intelligent Transportation Systems Track (2025)
“Electric Vehicle Charging Infrastructure Optimization in Berlin: A Fuzzy Multi-Objective Framework”

🔋 Featured Project: Berlin Grid Digital Twin

Production-Grade Real-Time Grid Control System

A scalable digital twin demonstrating VDE-AR-N 4110 compliance with validated Monte Carlo robustness for Redispatch 3.0 applications in Berlin’s electrical distribution network.

Key Achievements:

⚡ Real-time streaming architecture with <50ms physics loop (50Hz grid-compliant)
📊 56M ops/sec throughput validated on x86_64 Linux
🎯 Multi-strategy controller benchmarking (Hard Cutoff, Linear Droop, Fuzzy Logic)
🔬 Monte Carlo robustness testing (n=50) with documented AR(1) uncertainty models
✅ VDE-AR-N 4110 and §14a EnWG compliance validated via Pandapower AC power flow
🏗️ Production-ready architecture with CI/CD (pytest, mypy, Docker)

Repository: github.com/omari91/berlin-grid-project
Technologies: Python, Pandapower, NumPy, Pandas, Matplotlib/Seaborn, GitHub Actions, Docker

🔧 About

I’m an MSc Electrical & Electronic Engineering candidate based in Berlin, Germany, and an IEEE researcher.

My work spans grid digital twins, EV charging infrastructure optimization, and real-time power systems engineering, with a focus on German energy regulations (VDE-AR-N 4110, §14a EnWG) and production-grade implementations.

Previously, I led Product Operations and Customer Support teams, achieving an average 87%+ customer satisfaction score through data-driven process design, training, and cross-functional coordination.

This hybrid background allows me to connect engineering precision with operational execution — delivering systems that work in theory and in real-world deployment.

⚙️ Core Expertise

Grid Digital Twin & Real-Time Systems – Production-grade streaming architecture with regulatory compliance (VDE-AR-N 4110, §14a EnWG)
Power Systems Engineering – AC power flow validation, voltage stability, thermal loading, transformer capacity analysis
EV Charging Infrastructure Optimization – Fuzzy multi-objective and robust modelling
Systems Design & Product Operations – Scaling support processes and deployment frameworks
Data & Decision Systems – Python, MATLAB, Pandapower, Fuzzy Logic, optimization algorithms
Project & Change Management – Agile methods, stakeholder alignment, cross-border collaboration

📚 Current Research

Title: Electric Vehicle Charging Infrastructure Optimization in Berlin: A Fuzzy Multi-Objective Framework for Robust Deployment Under Uncertainty
Conference: IEEE ETECOM 2025 (Best Paper Award Winner)
Focus: Developing a robust decision model that reduces EV-charging network rollout risk, cost, and retrofit rates under uncertain demand and urban constraints.

Deliverables:

paper.pdf — Full research paper
slides.pdf — Conference presentation deck
demo_colab.ipynb — Example model notebook

🧠 Education

MSc Electrical & Electronic Engineering – Arden University, Germany (in progress, graduating 2026)
Postgraduate Diploma – Project Planning & Management, UON
BSc Electrical & Electronic Engineering - JKUAT

💼 Professional Highlights

Power Systems Engineer — Developed production-grade grid digital twin with real-time performance validation and German energy regulation compliance
Senior Product Operations Lead — Delivered >87% CSAT, scaled regional ops, and led training across distributed teams
Research Assistant & System Developer — Data modelling, simulation, and systems integration projects
Business Development & Change Management — Introduced process improvements for product teams transitioning from startup to scale

📂 Repository Structure

/research — EV infrastructure optimization model, data, and results
/projects — Selected systems and operations-related work
/resume — CV and one-page professional summary
/assets — Media and presentation materials

📫 Contact

Location: Berlin, Germany (open to relocation within the EU)
Email: engomari6@gmail.com
LinkedIn: linkedin.com/in/clifford-omari-tpm
GitHub Portfolio: omari91.github.io
Website: cliffordomari.com

⚖️ License

This project is released under the MIT License. You are welcome to reference or build upon the included research materials with appropriate attribution.

🔍 Quick Summary for Recruiters

**MSc Engineer

IEEE Best Paper Award Winner

Grid Digital Twin & EV Infrastructure

Real-Time Systems

Product & Operations Leader**

✅ Production-grade engineering experience (grid digital twin, real-time systems)
✅ German energy regulation expertise (VDE-AR-N 4110, §14a EnWG)
✅ IEEE research recognition (Best Paper Award)
✅ Proven operational leadership (87%+ CSAT, cross-functional team scaling)
✅ Technical depth (Python, Pandapower, AC power flow, Monte Carlo validation)
✅ Based in Berlin, Germany — EU work authorization

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