Ioannis Varouxis Personal Site

Leading Enterprise AI & Agentic AI Initiatives | Solution Architecture | AI Governance, Quality & Trusted AI

AI Technology Architecture & QA Lead

I lead AI technology architecture and quality assurance, helping large organizations adopt artificial intelligence responsibly, at scale, and with confidence.

What I do

  • Advance enterprise AI initiatives through robust governance frameworks and scalable architecture.
  • Help shape a data-driven culture through strategic AI applications.
  • Collaborate with cross-functional teams to establish comprehensive AI architecture and development guidelines.
  • Define and support AI governance responsibilities, including decision-making frameworks, accountability, risk management, compliance, and responsible AI principles.
  • Ensure rigorous quality assurance processes for both traditional and generative AI use cases.

AI expertise

My focus is on building, orchestrating, and operationalizing modern AI systems:

  • Agentic AI — Agentic AI development, agent orchestration, agentic workflows, and agentic automation.
  • Large Language Models — LLMs, local LLMs, fine tuning, prompt engineering, transformer models, BERT, and vLLM.
  • Retrieval & knowledge — Retrieval-Augmented Generation (RAG), vector databases, and graph databases.
  • Frameworks & tooling — LangGraph, LangChain, PyTorch, Scikit-Learn, MLflow, and Kubeflow.
  • MLOps & delivery — MLOps, CI/CD, software observability, and Python.
  • Governance — AI policy, governance, and regulation, and responsible AI principles.

Beyond AI

Alongside my AI work, I bring deep experience in software and solution architecture:

  • Architecture — Solution, platform, enterprise, and system architecture; SOA, distributed systems, REST, and integration.
  • Engineering — Software engineering, design, and development across .NET, C#, ASP.NET, JavaScript, TypeScript, and web services.
  • Data — Microsoft SQL Server, SQL, T-SQL, SSIS, SSRS, database design, and business intelligence.
  • Cloud & platforms — Cloud computing, Microsoft Azure, SaaS, and enterprise software.
  • Delivery — Agile methodologies, Scrum, software project management, and requirements analysis.