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Senior AI / ML Engineer with 12+ years of software and platform engineering experience, now focused on designing, building, and operating the platforms and infrastructure that run production AI/ML systems at scale. I bridge the gap between ML teams and reliable enterprise delivery — from GPU platforms and training orchestration to observable, cost-efficient inference serving.
My core expertise includes end-to-end ML platform design (feature stores, training orchestration, model registries, A/B serving), large language model integration and fine-tuning workflows (LoRA/QLoRA), retrieval-augmented generation (RAG) with advanced chunking, embedding and reranking strategies, and agentic AI system architecture with tool-use, planning, and memory patterns. I design AI platforms that are safe, explainable, and aligned with the EU AI Act, NIST AI RMF, and ISO/IEC 42001.
I architect scalable inference infrastructure on Kubernetes (GKE) with GPU scheduling, autoscaling, and cost-optimized serving using vLLM, TGI, and Triton. I have production experience with Vertex AI and working knowledge of Amazon SageMaker, Azure ML, and open-source stacks (MLflow, Kubeflow, Ray).
I can present complex AI system architecture clearly to executives, product teams, and regulators — with high-quality diagrams, risk assessments, and business-impact analysis. I lead architecture reviews, AI risk assessments, and implementation planning for responsible, scalable AI delivery.
Google Cloud (5x Professional Certified): Professional Cloud Architect, Professional Cloud Network Engineer, Professional Security Operations Engineer, Professional Cloud DevOps Engineer, Professional Data Engineer. Technical Expert: Build with Vertex, Intelligent Search, Customer Engagement Suite with Google AI.
As a published Technical Author, I actively share hands-on AI engineering insights on Medium and in professional publications, and have won multiple AI hackathons at Deutsche Telekom.
LinkedIn
GitHubT-Digital by Deutsche Telekom · Full-time
Sep 2024 - Present · 1 yr 11 mos
Thessaloniki, Central Macedonia, Greece · Hybrid
A Chrome & Safari extension that keeps secrets out of AI prompts — it scans messages before they reach ChatGPT, Claude or Gemini using 110+ regex patterns plus Shannon-entropy analysis, then redacts or blocks API keys, tokens and PII. 100% local, zero telemetry.
Chrome Web StoreA quantitative model that gives leadership measurable visibility into key-person dependency, decision bottlenecks and human control-bypass risk — Bus Factor, Decision Concentration and Bypass Risk in one product. Published to PyPI with a citable DOI.
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Credential ID: 8a9ddfba001e4a55bf42667a6b62da9b
Skills: Cloud Solution Architecture, Security and Compliance, Cloud Networking, +6 more
Show credentialCredential ID: 4f3e7970bbdb4a61805a8209cfe215ed
Skills: Data Engineering, Big Data & ML Pipelines, Data Governance & Security, +6 more
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Completion certificate for the NIS-2 Deep Dive web training (28 May 2026) covering real attack scenarios (identity theft, compromised backups, user account breaches), NIS-2 requirements including risk management, reporting obligations, and supply chain security, governance structures, security roles, policies, incident response processes, vulnerability management and cyber resilience with IBM solutions, network and firewall security, SOC/SIEM/endpoint protection, and identity/access/communication protection.
ACE ID IBM-0032 (v1), 14 weeks (~200 hours), minimum passing score 70. ACE: 18 SH (6 x 3) across Web Development (HTML/CSS/JavaScript), Python for Data Science, Advanced Application Security, Intro to Cloud Computing, Intro to Python, and Microservices.
Engineer's Degree, Automation Management Systems
Engineer's Degree, Translation
Recognized by the KMK Central Office for Foreign Education (ZAB) as equivalent to a German Bachelor's degree
Time Management · Self-discipline · Communication and Collaboration
Bachelor's Degree, Law
Data Privacy and Security · Compliance and Regulations · Communication and Collaboration · Technical Analysis
8articles published onGoogle Cloud - Community · Data Engineer Things · Medium · Mr. Plan ₿ Publication · Code Your Own Path
Google Cloud - CommunityMay 14, 2026
How to security-test LLM systems: red-teaming for prompt injection, detecting data leakage, and validating tool-call safety — building an AI security evaluation aligned with responsible AI.
Show publicationGoogle Cloud - Community
Architecting agentic AI with the Agent Development Kit (ADK) and skills: tool use, planning, memory and orchestration patterns for moving from ad-hoc prompts to production-grade agents.
6distinctionsselected by Google & the developer community
One of only a handful of engineers Google names Ambassador for Infrastructure — a recognition it reserves for the very top tier of its global Cloud community. Awarded for sustained, hands-on mastery of Google Cloud infrastructure, proven in the console rather than on paper.
Recognised by Google as a Security Champion — a distinction given to practitioners who consistently demonstrate deep, applied expertise in securing Google Cloud environments and raising the security bar across the community.
