Jose Latorre
Engineer Troublemaker At Machine Learning & AI Team at Swiss Life
Zurich, Zurich, Switzerland
Summary
🤩
Rockstar🎓
Top SchoolJose Latorre is an engineer and developer-community leader with 7 years of professional experience, currently driving ML and AI initiatives at Swiss Life as an "Engineer Troublemaker" and Software Architect. He blends hands-on backend development—evidenced by contributions to Microsoft's high-profile semantic-kernel project, where he improved strongly typed model outputs and workflow visualization—with developer advocacy and architectural oversight. Based in Zurich, he pairs an inquisitive, agentic approach to automation and tooling with deep .NET and process-framework expertise honed over a long, varied education including Cambridge and an MBA. Known for simplifying complexity, he often trades clever engineering shortcuts for clearer, verifiable systems that help teams move faster.
7 years of coding experience
It Center "La Caixa/IBM"XML course, XML course at Soft ObertADIT - Advanced Diploma in Information Technology, ADIT - Advanced Diploma in Information Technology at Cambridge UniversityMBA, MBA at EAEMaster on Internet Development, Master on Internet Development at E.S.I. (Superior School of Computer science).Net 3.0, .Net 3.0 at personal training
Github Skills (11)
net10
asp-net10
dotnet10
csharp10
dotnet-core10
llm9
apidoc9
sdk9
ai9
api9
mermaid9
Programming languages (9)
Github contributions (5)
microsoft/semantic-kernel
Aug 2023 - Mar 2025
Integrate cutting-edge LLM technology quickly and easily into your apps
Role in this project:
Backend Developer
Backend DeveloperContributions:40 reviews, 7 PRs, 126 comments in 1 year 7 months
Contributions summary:Jose primarily focused on extending and improving the .NET-based semantic kernel framework. They implemented a `FunctionResultExtended` class to provide strongly typed results with validation, improving the handling of model outputs. Additionally, the user contributed to the process framework by simplifying event emission mechanisms, introducing an overload with a simplified signature to reduce code complexity, and streamlining event handling. They also implemented a code to generate mermaid diagrams to visualize workflows/processes.
aiartificial-intelligencellmopenaisdk
joslat/semantic-kernel
Nov 2023 - Feb 2025
Integrate cutting-edge LLM technology quickly and easily into your apps
Contributions:116 pushes, 12 branches in 1 year 4 months
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