Raffaele Camanzo
Head of Technology at Sourcesense
Milan, Italy
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With over 20 years of experience in IT, he blends technical depth with a strong focus on people and collaboration to turn ideas into real value. A passionate advocate of open source communities, he believes that continuous learning and shared best practices are the true accelerators of innovation.
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Prototyping an AI Agent in one sprint. Approach, design & tools
In GenAI, the challenge isn’t just what to build but how fast you validate ideas. I’ll show why fast prototyping matters as much as execution and present our one-sprint experiment: an AI agent for ticket resolution. In the session I'll guide you through the usage of Google ADK, MCP Server, MongoDB, GitHub, and AWX to build a fast, effective workflow. You’ll gain a repeatable method for real-world AI innovation.
Automatic API creation for MongoDB and Kafka apps
When we build a new app we want to focus on what matters, but in many cases we have to deal with roadblocks. Let's say our company wants to launch a new service and we need to collect the data from many sources. What do we do? Point to point connection with each system? An integration layer?
We have built a platform to solve this problem and reduce the development effort. Joyce, ingests data from a wide variety of sources and exposes it through auto generated REST and GraphQL APIs.
We will give a brief intro of Joyce’s architecture and capabilities, then a live demo to prove how fast it is to pull the data out of a relational database and make it immediately available through standard APIs.
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