Hands-on software engineer and architect with 20+ years of experience in distributed, high-performance systems, with a strong focus on logs, metrics, and observability infrastructure.
Experienced in Java, performance engineering, and Kubernetes-native platforms, with production use of OpenSearch.
Passionate about collaborative, consensus-driven engineering cultures.
Co-organizer of JHUG and Programme Committee Member of Devoxx Greece.
PhD in Mobile and Data Networks.
Hands-on software engineer and architect with 20+ years of experience in distributed, high-performance systems, with a strong focus on logs, metrics, and observability infrastructure.
Experienced in Java, performance engineering, and Kubernetes-native platforms, with production use of OpenSearch.
Passionate about collaborative, consensus-driven engineering cultures.
Co-organizer of JHUG and Programme Committee Member of Devoxx Greece.
PhD in Mobile and Data Networks.
The Model Context Protocol (MCP) has become the de facto standard for connecting Large Language Models to enterprise systems — but what works beautifully on localhost falls apart the moment you introduce Kubernetes, real traffic, and distributed state.
This session covers the three architectural realities every team hits in production: the migration from Server-Sent Events (SSE) to Streamable HTTP and why SSE’s persistent connection model is fundamentally incompatible with cloud-native deployments; Redis-backed distributed session management that survives pod restarts and autoscaling events; and a battle-tested Kubernetes deployment blueprint covering ingress configuration, horizontal pod autoscaling, and transport-layer security hardening.
You’ll leave with concrete patterns and hard-won lessons for running MCP where it actually matters — in production.
A discussion of building global success and how artificial intelligence is transforming the world.
AI is transforming software development, making coding, knowledge, and execution more accessible than ever. As AI evolves from a productivity tool into the interface between human intention and creation, a deeper question emerges: what does it mean to be a capable human in the age of AI?
When a junior engineer can achieve in hours what once required years of experience, what truly distinguishes a senior professional? Is it technical expertise, or the ability to exercise judgment, ownership, critical thinking, creativity, and empathy?
This panel explores how AI is reshaping careers, learning, leadership, and human value. Where does deep expertise still matter? What skills remain scarce when knowledge and execution become abundant? And how should developers, students, HR leaders, and CTOs prepare for a future where anyone can build, but not everyone can create value?
Audience takeaway: Understand how the definition of talent, expertise, and impact is changing, and what skills will matter most in the AI-native world.
A hands-on workshop on using modern AI tools with WordPress for design, development, site management, and context-aware user experiences.
An interactive workshop examines how AI coding assistants and autonomous agents are reshaping software development, developer roles, and the skills needed to remain relevant.
A 60-minute AI-guided workshop builds and deploys an Airbnb-style booking MVP with Next.js, Tailwind CSS, and browser-based AI IDEs.
Architectural Katas give teams repeated practice designing systems, defending decisions, and learning from alternative approaches to develop architectural judgment.
A hands-on workshop using Elephant Carpaccio to practice vertical slicing, incremental delivery, and keeping software deployable through small end-to-end changes.
A hands-on workshop teaches context engineering for AI coding tools through prompts, project configuration, context management, and grounded retrieval.
