Manuel Jiménez is an AI Software Engineer with 10 years of experience building cloud-native, full-stack systems and production-grade AI features from Spain. He has deep expertise in location intelligence and GIS platforms, having implemented connectors for BigQuery, Snowflake, Redshift and stream-based import pipelines at CARTO and contributed backend and frontend fixes to its open-source repo. At Tempus AI he drove GenAI initiatives—building an Agent Builder, integrating user feedback into an observability platform, and designing multi-agent routing with evaluated models—bridging research prototypes and production services. He combines strong backend integration skills (OAuth/service auth, streaming APIs, cloud connectors) with practical frontend improvements and developer tooling. Comfortable leading small teams and presenting technical results, he pairs an M.Sc. in Logic, Computation and AI with hands-on contributions spanning Python, Ruby, JS and cloud tooling. An often-overlooked strength is his track record of converting GIS research into scalable products and measurable observability for AI agents.
Contributions:4 releases, 24 reviews, 227 commits in 1 year 9 months
Contributions summary:Manuel's commits primarily focused on adapting the existing BigQuery connector for the `cartodb/cartodb` project, a location intelligence and data visualization tool. The contributions involve modifying Ruby code to utilize Signet as an OAuth client and incorporate service authentication. Additionally, the user made changes to JavaScript files, particularly for import functionalities within the builder components and fixing eslint errors. These changes indicate a focus on both backend integrations and frontend component improvements.
Contributions:1 release, 4 PRs, 20 pushes in 7 months
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