27.09.2026 aktualisiert
100 % verfügbar
AI Engineer & Founder of Sanlabs GmbH
Berlin, Deutschland
Weltweit
Master of Science in Computer ScienceÜber mich
AI engineer and founder of Sanlabs GmbH. I co-authored Haystack, the leading German open-source LLM framework. I have experience deploying AI in regulated industries like pharmaceuticals, aviations, and logistics supply chain.
Skills
AI AgentsLLMAuth0LlamaIndexLangChainOllamaSupabaseJavaScriptKünstliche IntelligenzAmazon Web ServicesMicrosoft AzureC++PythonWorkflowsRust (Programming Language)
AI engineering: Designing agentic workflows, tool use, MCP, CLIs, and custom integrations.
Agent infrastructure and sandboxing: Building isolated execution environments and persistent runtimes for agents, with attention to security, state, and reliability.
LLM applications: Taking AI products from proof of concept to production, including orchestration, retrieval-augmented generation (RAG) based on vector DB & Knowledge Graphs.
Enterprise AI delivery: Turning complex customer requirements into working systems, including deployments in regulated and operationally complex environments.
Cloud and on-premises deployment: Deploying AI applications and agent infrastructure on Hetzner, AWS, Azure, GCP, and Telekom Cloud, as well as on physical server racks.
Erfahrung
Berufserfahrungmehr als 10 Jahre
Freelancer seit2025
Sprachen
Englischverhandlungssicher
Projekthistorie
Sanlabs GmbH provides implementation and technical advisory for AI-based systems in highly regulated industries. Leading technical architecture and implementation from early prototype through production deployment. Building reliable and auditable systems for sensitive workflows with attention to data sovereignty and deployment constraints.
I joined deepset as its founding engineer and co-authored Haystack, an open-source LLM framework used by government institutions and organizations in regulated industries. I led cross-functional work on enterprise AI solutions, partnered with sales and product teams to turn customer needs into platform features, and worked in the CTO’s office on innovation and strategic accounts.
Built the backend for a machine learning pipeline processing real-time WiFi mesh data to track mobile phone movements for anonymized in-store retail analytics.