Manager | 10+ Years Experience | Consulting, Azure, TensorFlow, JAX, HPC

Artificial Intelligence Subject Matter Expert & Energy Sector Specialist

Opening Summary

I am an Artificial Intelligence Subject Matter Expert and Energy Sector Specialist with over 10 years of experience bridging the gap between advanced technology and complex energy systems. With a "Big 4" consulting background and a Ph.D. in Deep Learning and Predictive Control, my key strengths lie in leading the end-to-end development of data-driven solutions mainly but not exclusively within the regulated energy sector. I excel at translating complex business requirements into robust technical architectures, possessing a proven track record of steering cross-functional teams to deliver innovative solutions in fast-paced, international environments.

Core Competencies & Technical Skills

• AI, ML & Advanced Modeling: LLMs, RAG, AI Agents, Deep Learning, Predictive Modeling, Computer Vision, TensorFlow, PyTorch, JAX, Scikit-learn, MATLAB/Simulink, CasADi, do-mpc, pvlib.
• Tech Stack & Cloud Infrastructure: Python, Microsoft Azure, Google Cloud, Linux (Ubuntu, RHEL), HPC, Git.
• Project Management & Leadership: Technical leadership, executive stakeholder management, requirements engineering, risk and dependency management, effort estimation, AI-enablement and coaching.
• Languages: German (Native), English (Business Professional), Arabic (Advanced), Turkish (Advanced).

Professional Experience

Currently, I serve as an Assistant Manager at KPMG AG Wirtschaftsprüfungsgesellschaft in Germany, directly reporting to the Service CTO and collaborating with Senior Management and Partners/Directors to drive the development of comprehensive AI consulting offerings for national and international clients. My day-to-day involves the lifecycle management of complex AI implementations (LLMs, RAG, predictive models) on Microsoft Azure. I act as the technical bridge between business stakeholders and engineering teams, frequently assuming the role of technical leader to guide colleagues and assist leadership through complex AI deployments.

Crucially, my focus on impact has driven significant financial returns for the firm and its clients:

• High-Impact AI Integration: Spearheaded the internal adoption of AI Agents for Assurance delivery, shifting approximately €2M in net sales execution from traditional staff to automated workflows, ultimately multiplying profitability by 3-4x.
• Enterprise Automation & ROI: Architected an end-to-end audit automation solution for a major chemical enterprise that generated approximately €7M in direct cost savings.
• Workflow Optimization: Developed fully automated audit workflows with streamlined review preparations for Managers and Partners. This initiative covered a €2.5M net sales portfolio, fundamentally optimizing processes for a client base representing hundreds of millions of Euros in revenue for clients.

Prior to KPMG, I worked as an Energy Management Expert at Deutsche Post DHL Group, where I managed real estate energy data, optimized data models, and built automated decision-support tools (using VBA, Excel, and Access) to drive corporate efficiency.

Applied Research & Academic Background

My industry expertise is grounded in rigorous applied research. As a Scientific Researcher at Hochschule Bonn-Rhein-Sieg, I contributed to the BMBF project "EnerSHelF," developing AI-driven predictive control for PV-diesel hybrid systems and sector-specific AI load models for healthcare facilities in Ghana. I also formulated deep learning models for solar radiation forecasting using sky camera data.

I hold a Ph.D. (Dr.-Ing.) in Resources and Sustainability / Informatics and Data Science from Promotionskolleg NRW (Graduated with "Sehr gut"). My thesis focused on predictive control models for grid regulation. I also hold an M.Sc. in Renewable Energies and a B.Eng. in Mechanical Engineering. Additionally, I am an active peer reviewer for high-impact international journals (Elsevier, Springer, Nature).

Career Goals

I am seeking leadership and management roles—such as Head of AI, Director of Data & AI, or AI Practice Lead—within forward-thinking tech companies, scale-ups, or energy organizations. Having successfully bridged the gap between strategic consulting and technical delivery at the Big 4, my objective is to focus mainly on strategic management and organizational leadership. I aim to shape the high-level vision of AI initiatives, manage cross-functional departments, and steer the development of high-impact AI products that seamlessly combine profitability, sustainability, and innovation. I am deeply passionate about this space because I believe intelligent automation and predictive modeling are the fundamental keys to solving complex operational challenges we encounter in business.