I'm a Lead Product Engineer at deepset, working on open-source tools for building reliable, production-ready AI applications.

A lot of my work happens in the Haystack ecosystem, where I contribute to the framework, its integrations, and the developer experience around building with LLMs.

I'm particularly interested in making AI systems more practical, extensible, and easier for developers to build with.

• 🌱 Open source — Contributing to and helping maintain Haystack and its ecosystem of integrations.
• 🤖 AI agents & RAG — Building tools and infrastructure for retrieval-augmented generation, agentic workflows, and LLM applications.
• 🧩 Developer experience — Improving APIs, integrations, documentation, and the little things that make a framework enjoyable to use.
• 🤝 Community — Reviewing contributions, helping contributors get started, and collaborating with developers building on top of Haystack.

• Haystack — An open-source AI orchestration framework for building production-ready LLM applications.
• Haystack Integrations — Integrations connecting Haystack to models, databases, and other tools.
• Hayhooks — Deploying Haystack pipelines as REST APIs and MCP tools.

I believe great developer tools should be powerful without being unnecessarily complicated.

I enjoy working at the intersection of open-source engineering, practical AI applications, and developer experience — especially when it involves turning complex ideas into simple, reusable building blocks.

I'm always happy to collaborate on interesting open-source projects, discuss AI engineering, or help contributors find their way into the Haystack ecosystem.

• 💻 GitHub
• 🤗 Hugging Face

Proud to be part of OpenAI's Codex for Open Source program, supporting the people building and maintaining open-source software.