AI_AGENTS
Smart Automation for Your Business
As a Modern AI Engineer in 2026, I build sovereign agentic systems in a 'Lean AI' architecture. My solutions combine the power of advanced cloud models (Gemini 3.0) with full control of local models (Ollama, DeepSeek), creating ecosystems built to last.
I use a 'Code-First' approach, avoiding heavy abstractions in favor of precise tools like PydanticAI and native SDKs. From sovereign RAG based on Qdrant, through process orchestration (State Machines), to full observability in Langfuse — I deliver production-ready AI infrastructure.
Choose modern technology and gain a competitive edge with Model Context Protocol (MCP) and advanced automation. Contact me, and I’ll show you how professional AI engineering can support your business.
AI That Works for You – Locally and Securely
My solutions enable intelligent process automation without relying on the cloud or external services. This ensures complete control over your data, privacy, and reliable performance.:
- Local AI Models — Powerful Large Language Models (LLMs) running on your own hardware, without sending data to external servers.
- Process Automation — Intelligent systems for data analysis, content generation, customer service, and workflow optimization.
- Security and Privacy — Full control over your company's information, without the risk of data leaks to external providers.
- Flexible Integration — Solutions tailored to your existing IT infrastructure.
- Scalability — Every application is designed specifically for your business requirements.
With local AI models, you can enjoy the power of artificial intelligence in an efficient, secure way, without compromises.

Modern, Free, and Scalable AI Tools
I use open-source technologies that are free, flexible, and easy to maintain. This allows you to implement AI without high licensing costs while maintaining full control over your system.
- PydanticAI – Type-Based Agents — I use the most sought-after framework of 2025 to build agents with secure dependency injection (DI) and strict data validation in production systems.
- Qdrant & Sovereign RAG — I build advanced Retrieval-Augmented Generation systems with hybrid search and reranking, ensuring 100% data sovereignty (on-premise).
- Model Context Protocol (MCP) & Observability — I implement the MCP standard to connect LLMs with your data and Langfuse for full monitoring (Tracing), cost analysis, and response quality evaluation.


Examples of AI Solutions for Small Businesses
My solutions help streamline day-to-day operations, increase efficiency, and save time. Here are a few ways AI can support your business:
- GDPR_EXPERT_AI — A local agentic system analyzing documentation for GDPR compliance, running 100% inside your internal infrastructure.
- Sovereign Knowledge Base (RAG) — A system combining Qdrant and Reasoning models (e.g., DeepSeek-R1) that understands complex relationships in your business data.
- Automated Reporting & Quant — A tool generating precise reports based on Pydantic schemas, facilitating advanced real-time data analysis.
- Multi-Agent Systems — Teams of agents (e.g., Analyst + Critic + Expert) collaborating to solve complex business problems.
- MCP Business Integration — Secure data bridges connecting your SQL databases and file systems with LLM intelligence without external exposure.


Ready to start your project?
Get in touch with me now to discuss the details and plan actions that will help your business succeed online.