-Build advanced AI models.
-Create and continuously refine RAG tools.
-Design and implement agentic AI workflows and MCP-based automation solutions for business process optimization.
Agentic AI Systems Engineer
Strong Work Ethics
Building meaningful relationships
Passion Driven Mentality
Agentic AI Systems Engineer
Strong Work Ethics
Building meaningful relationships
Passion Driven Mentality
Welcome!
I design and build agentic AI systems that solve real business problems.
My work spans AI agent architecture, secure self-hosted infrastructure, and MCP-based workflow automation for SMEs.
I focus on practical implementation, systems that work in production, not just demos.
My expertise spans agentic workflows, local LLMs, Docker and Proxmox infrastructure, and building AI-driven reporting tools. I also write technical content on my blog “Stratos on Tech,” breaking down complex AI and infrastructure topics step by step.
I take a security-first approach to every system I build. Whether it’s an AI agent, a self-hosted server, or an automation workflow, reliability and security are non-negotiable.
Breaking down complex technical topics into clear, actionable steps. First principles, not hand-waving.
Designing AI agents that work in production, with proper guardrails, security, and reliability.
Building and maintaining secure server environments with Proxmox, Docker, and OPNsense. Full control, full ownership.
Turning AI from buzzword into business tool. Reporting systems, workflow automation, and MCP integrations.
-Build advanced AI models.
-Create and continuously refine RAG tools.
-Design and implement agentic AI workflows and MCP-based automation solutions for business process optimization.
-Engineered technical solutions to optimize the e-commerce platform.
-Developed comprehensive reporting systems.
-Leveraged data-driven insights.
Monitored technical aspects of the front-end & back-end delivery for projects.
-Led retail operations and sales teams.
-Developed and implemented sales strategies.
Practical training on the architecture and safe implementation of Claude Code.
This program bridges the gap between AI theory and real-world business use.
Pioneering foundational models and strategic vision to lead the generative AI technological revolution.
International Hellenic University - Sindos Campus
Electronics and Network science
Hackathon submission for the AWS & Dynamous AI Hackathon — placed 15th in the competition. An AI agent that analyzes resumes against job descriptions, identifies alignment gaps, and generates optimized content. Handles real resume structures — parsing documents, scoring sections against role requirements, and suggesting targeted improvements grounded in actual job market patterns.
Natural Language Processing, LLM Integration, Document Parsing, Prompt Engineering, Python
A web application built on proven productivity techniques, designed for users who want structure without complexity. Features task management, goal tracking, and workflow patterns — all in a clean, dark-themed interface built for daily use.
Full-Stack Web Development, TypeScript, Modern UI Architecture, Productivity Systems
Hackathon submission for the Elasticsearch AI Hackathon — recognized as a well-crafted, thoroughly documented project by the judges. A second-brain system that uses the Elastic Agent as its reasoning engine and Elasticsearch as its long-term memory — capturing, indexing, and retrieving knowledge so nothing gets lost. Integrated with the Artemis productivity dashboard to prioritize and sequence daily tasks using proven productivity techniques, turning raw information overload into a structured, actionable workflow you can execute each day.
AI Application Architecture, Knowledge Management, TypeScript, Information Retrieval, Data Processing
A personalized AI chatbot embedded on stratoslouvaris.gr that acts as a digital twin. Visitors ask questions about background, skills, projects, and experience — and get accurate answers grounded in a curated knowledge base of 47 entries across 9 categories. Built with a RAG pipeline, vector search, and real-time SSE streaming, self-hosted on personal infrastructure.
RAG Architecture, Vector Search (sqlite-vec), SSE Streaming, FastAPI, Pydantic AI, Self-Hosted Deployment
Learn what Retrieval-Augmented Generation is, why LLMs fail without it, and how the complete RAG pipeline works from ingestion to answer generation.
Estimated reading time: 12 minutes Key Takeaways AI is a Hierarchy: Artificial Intelligence (AI) is the broad concept of mimicking…
Estimated reading time: 8 minutes Key Takeaways Network Segmentation is Key: Using VLANs to separate trusted devices (laptops, phones) from…
Estimated Reading Time: 6 minutes Control and Privacy: Maintain ownership over your data. Learning and Experimentation: A hands-on approach to…