Laurin Wittich

I design, develop and ship production LLM applications focused on RAG pipelines and multi-agent systems with LangGraph. I own two live products end-to-end: a Legal & Compliance Chatbot with RAG over internal sources, and Automated Due Diligence report generation using multi-modal multi-agent workflows. That ownership runs from stakeholder requirements through architecture, implementation, evaluation, deployment and iteration. I also co-organize the monthly AI Lab STR, a high-intensity format that solves real client problems within three hours and presents working prototypes directly to customers. The work uses GitHub Actions, Docker, PostgreSQL and monitoring of AI system performance.

Following Accenture's acquisition of Camelot ITLab, I continued development on the enterprise supply chain management product, enhancing a NestJS and Node.js multi-agent system and maintaining critical C++ components. I then built a proof-of-concept chatbot with secure proprietary-data integration and retrieval-augmented generation, expanding my full-stack work while moving toward AI-focused initiatives.

Started as a Functional Developer specializing in C++, with additional full-stack work in Node.js and Angular. I built a rhythmic planning heuristic for a large-scale supply chain system and developed a multi-agent system for supply chain planning in NestJS and Node.js, including containerized deployments with Kubernetes.