Building production AI systems at one of the world's largest modern financial businesses.
Stratos Louvaris
Agentic AI Systems Engineer
Strong Work Ethics
Building meaningful relationships
Passion Driven Mentality
Stratos Louvaris
Agentic AI Systems Engineer
Strong Work Ethics
Building meaningful relationships
Passion Driven Mentality
About Me
Welcome!
I’m Stratos Louvaris – Agentic AI Systems Engineer
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.
- Age 37
- Residence GR
- Address Thessaloniki, GR
My Passion
Clarity and Precision
Breaking down complex technical topics into clear, actionable steps. First principles, not hand-waving.
Agentic AI Systems
Designing AI agents that work in production, with proper guardrails, security, and reliability.
Self-Hosted Infrastructure
Building and maintaining secure server environments with Proxmox, Docker, and OPNsense. Full control, full ownership.
Practical AI Implementation
Turning AI from buzzword into business tool. Reporting systems, workflow automation, and MCP integrations.
Fav Companies - Tools
Fun Facts
100+ Audiobooks Listened
Pizza Lover
Tech Content Creator
Passionate Learner
Resume
Experience
2026 - Present
GenAI & Agentic AI team
XM
2022-2025
Agentic AI Systems Engineer
Bizeli LTD
-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.
2020 - 2026
E-commerce Optimization & Business Intelligence Specialist
E-smokers
-Engineered technical solutions to optimize the e-commerce platform.
-Developed comprehensive reporting systems.
-Leveraged data-driven insights.
2021-2023
Mobile App Development
App Development
Monitored technical aspects of the front-end & back-end delivery for projects.
Education
2026
Building AI - Advanced coding
University of Helsinki
Honors: "Advanced Coding"
2026
Claude Code in Action
Anthropic
Practical training on the architecture and safe implementation of Claude Code.
2025-2026
Artificial intelligence applications in organizations and businesses
Aristotle Certification Training & Assessment "ACTA"
This program bridges the gap between AI theory and real-world business use.
2024-2025
Generative AI Leader
Google Cloud Certified
Pioneering foundational models and strategic vision to lead the generative AI technological revolution.
2006
ATEI Automation Engineering
Thessaloniki
International Hellenic University - Sindos Campus
2003-2006
Computer and Network Engineering
Thessaloniki
Electronics and Network science
Skills
Hard Skills
-
Agentic Workflows90%
-
Reporting Tools75%
-
Advanced Workflow Automation85%
-
Server Infrastructure50%
Knowledge
-
Agentic AI Systems
-
Cloud Computing
-
Natural Language Processing
-
Data Engineering & Processing
-
Infrastructure & DevOps
-
Large Language Models (LLMs) & Vector Databases
-
Data Analysis & Visualization
-
Optimization Techniques
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Predictive Analytics
Soft Skills
-
Creativity
-
Problem-solving
-
Communication
-
Teamwork
Languages
-
Greek-Native
-
English
Pydantic AI
PostgreSQL
LangGraph
Model Context Protocol
Docker
⚛️
React
Supabase
Serverless
Quote
Hard-working person, that will do the extra mile to accomplish the goals.
Chris Savvakis
UX/UI Programmer
Arete — AI-Powered Resume Optimizer
Hackathon
Active
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.
Key Skills:
Natural Language Processing, LLM Integration, Document Parsing, Prompt Engineering, Python
Artemis — Personal Productivity App
ActiveA 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.
Key Skills:
Full-Stack Web Development, TypeScript, Modern UI Architecture, Productivity Systems
Athena — AI-Powered Knowledge System
Hackathon
Active
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.
Key Skills:
AI Application Architecture, Knowledge Management, TypeScript, Information Retrieval, Data Processing
Digital Twin AI Chatbot
DevA 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.
Key Skills:
RAG Architecture, Vector Search (sqlite-vec), SSE Streaming, FastAPI, Pydantic AI, Self-Hosted Deployment
Blog
January 28, 2026
RAG Embeddings, Vector Databases & Chunking — Part 2
Embeddings, vector databases, and chunking are the foundation of every RAG system. Compare 6 vector DBs and 7 chunking strategies for your stack.
January 9, 2026
What Is RAG and Why Your LLM Needs It (Part 1 of 3)
Learn what Retrieval-Augmented Generation is, why LLMs fail without it, and how the complete RAG pipeline works from ingestion to answer generation.
October 25, 2025
How to Use Google’s NotebookLM as Your Personal Learning Assistant
NotebookLM tutorial: Learn how source-grounded AI solves documentation hallucination. This AI tool only uses your uploaded documents and provides citations.
October 16, 2025
AI for Sysadmins and Developers (Part 2): A Guide to Self-Hosting LLMs with Ollama
Choosing the right AI model can be challenging. In this comparison, we break down open-source and proprietary models by cost, control, privacy, and performance, helping you make an informed and strategic decision for your specific needs.