Hero Background

AI Engineer &Software Developer

Building intelligent systems with precision and creativity.

Specialized in RAG systems, LLMOps, and self-hosted AI infrastructures.

About

AI Engineer & System Thinker

Thomas Fritsch

Thomas is an AI Engineer focused on building robust RAG systems and self-hosted LLM infrastructures. His work combines engineering precision, system thinking, and a nomadic mindset.

Specializing in production-grade AI systems, Thomas helps companies implement intelligent solutions that are cost-effective, privacy-focused, and built to scale. From retrieval-augmented generation to autonomous AI agents, his approach prioritizes practical implementations over hype.

Based wherever there's reliable internet, Thomas contributes to open-source AI tooling and shares knowledge through templates, starter repos, and technical documentation.

5+
Years Coding
20+
AI Projects
Learning Mode

Journey & Milestones

AI Infrastructure Specialist

2024

Building production RAG systems and self-hosted LLM stacks

LLMOps & Automation

2023

Implementing autonomous AI agents and workflow orchestration

Full-Stack AI Development

2022

Combining traditional software engineering with emerging AI technologies

Software Engineering

2020-21

Building scalable web applications and cloud-native systems

Core Skills & Technologies

RAG Systems & Vector DBs95%
LangChain & LangGraph90%
Python & FastAPI88%
Self-Hosted AI (vLLM, Ollama)85%
Docker & Kubernetes82%
Cloud Infrastructure (AWS, Hetzner)80%

Current Focus

Building cost-effective RAG systems with advanced retrieval strategies, optimizing self-hosted LLM infrastructures, and exploring multi-agent architectures for complex automation workflows.

Get In Touch

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Contact Information

Available for projects
Typical response time: 24-48 hours
Thomas Fritsch | AI Engineer & RAG Specialist