Raphael Londner is a product and project leader who helps enterprises turn ambitious AI and GenAI concepts into governed, production-ready solutions, with 10 years of experience across developer advocacy, cloud platforms, and product management. Based in San Francisco, he blends hands-on engineering (notably contributions to Okta’s AWS CLI tooling and maintenance of Okta .NET SDKs) with strategic roadmapping for cloudification, API-first architectures, and secure identity integrations. He has led discovery and proof-of-concept engagements with Tier 1 banks and guided GenAI RAG platform selections, prioritizing business value through systematic user interviews and audits. A former Principal Cloud Developer Advocate at MongoDB and Okta alumnus, Raphael is equally comfortable engaging developer communities and driving enterprise adoption. He pairs a CentraleSupélec computer science background with recent Data Science/Machine Learning study, delivering pragmatic, auditable AI deployments that balance innovation with compliance.
10 years of coding experience
14 years of employment as a software developer
Master's Degree, Computer Science, Master's Degree, Computer Science at CentraleSupélec
Data Science/Machine Learning, Data Science/Machine Learning at Artefact School of Data
Contributions:17 commits, 7 PRs, 17 pushes in 7 months
Contributions summary:Raphael primarily contributed to the Okta AWS CLI tool by adding features and debugging issues. Their work included adding support for Windows with a batch file and improving logging capabilities for troubleshooting. They also integrated Log4j2 for enhanced logging and upgraded the AWS Java SDK. Furthermore, they made changes to support multi-policy and role array configurations.
Contributions:17 commits, 3 pushes, 3 comments in 4 months
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