Freelancer profile translated to English.

Description

Companies deploying AI systems currently face two critical challenges: AI agents that function reliably in practice – and compliance with the EU AI Act before it becomes mandatory.

I help engineering and product teams achieve exactly that: through structured architecture reviews, practical development of agent-based systems, and concise compliance assessments.

My focus areas:

Design & Development of LLM Agent Systems (Multi-Agent, Tool Use, RAG)

Azure OpenAI · GCP Vertex AI · Cloud-native Deployment

EU AI Act: Gap Analyses, Risk Assessments & Compliance Roadmaps

Automated Testing of AI Systems and Software Pipelines

I selectively accept a few, clearly defined projects – bringing full attention and senior expertise.

Availability: Part-time / Project-based (max 20 hours/week)

Languages

German
Native or bilingual
English
Fluent
Greek
Basic

Workplace preferences

Can work on-site

Düsseldorf (up to 50km)

Capgemini Ratingen,
IT Consultant
December 2021 - Today (4 years and 6 months)
Germany
AI Transformation & Strategy Consultant
Guiding enterprises from GenAI pilots to scalable, production-ready AI ecosystems.

Strategic AI Transformation: Advised cross-functional enterprise
stakeholders on AI adoption roadmaps, aligning technical capabilities (LLMs,
multi-agent systems) with core business metrics such as cost latency targets,
answer accuracy and user adoption.

Proof-of-Concept to Production Scale: Led the strategic transition of AI
initiatives from isolated pilots to enterprise-grade Agent Platforms,
establishing the architectural blueprint for Azure based service integration and
multi-agent workflow automation.

Autonomous Test Pipeline: Designed a multi-agent workflow that converts
business requirements directly into executable test automation — reducing
delivery time from days to hours.

Evaluation of GenAI Quality: Built evaluation frameworks to continuously
measure and monitor metrics like AI system accuracy, replacing subjective
reviews with KPI-driven release decisions.

Evaluation-Driven Agentic Engineering: Introduced an AI-assisted
development methodology where coding agents operate under automated
quality gates — accelerating software delivery without compromising
reliability.

Knowledge Architecture Optimization: Directed the deployment of
production RAG pipelines on Azure, improving enterprise-wide information
retrieval accuracy while maintaining stringent cost-efficiency standards.

Change Management / Enablement: Facilitated C-level discovery workshops
and guided engineering teams in adopting AI-native development practices,
acting as the strategic bridge between business requirements and technical
execution.
LLM AI Agents EU AI Act Generative AI Agentic AI
Self-employed
IT Freelancer
January 2015 - January 2021 (6 years)
40 Düsseldorf, Germany
Video game developer
- Chaos Mane (Action browsergame)
- Blinding Space (2D Shooter)
- Mathematics tutor

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Diploma Mathematician
Heinrich-Heine-Universität Düsseldorf
2015
Diploma Mathematician
Microsoft Certified: Azure Fundamentals Microsoft
International Software Testing Qualifications Board
2023
Microsoft Certified: Azure Fundamentals Microsoft