Stefan Sedich
Director Of AI ML Infrastructure at Sage
San Francisco, California, United States
Summary
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RockstarStefan Sedich is a Director of AI/ML Infrastructure in San Francisco with 15 years of experience building cloud-native platforms that help data scientists and engineers move models from experiment to production. He founded and scaled Sage AI Labs’ self-service infrastructure, combining hands-on engineering with team leadership to deliver robust, developer-friendly ML tooling. Stefan’s background spans backend and DevOps work across open source projects—contributions to projects like kiam and the Flux Helm Operator show deep expertise in AWS IAM integration, gRPC tuning, and deployment reliability. He brings a pragmatic focus on observability, testing, and operational resilience, having improved APM tracing and dry-run behaviors in production tooling. Comfortable across .NET and cloud-native stacks, he’s equally at home refactoring libraries for testability as he is designing large-scale ML platforms.
15 years of coding experience
15 years of employment as a software developer
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (43)
env10
kubernetes10
docker10
envoyproxy10
messaging10
python10
back-end-development10
testing10
net10
dotnet-new10
dotnet10
akka10
dockers10
rabbitmq10
asp-net10
Programming languages (21)
Github contributions (5)
uswitch/kiam
Oct 2020 - Jan 2021
Integrate AWS IAM with Kubernetes
Role in this project:
Backend & DevOps Engineer
Backend & DevOps EngineerContributions:17 reviews, 8 commits, 8 PRs in 2 months
Contributions summary:Stefan primarily focused on enhancing the Kiam server's functionality and maintainability. They refactored the credentials cache to support session names and external IDs, improving the integration with AWS IAM. The user also added features for configuring gRPC parameters, such as max connection age and keepalive settings, and they addressed gRPC keepalive flag naming inconsistencies. They also integrated session-name and external-id support for STS calls.
iamiam-rolekubernetesaws-iamaws
akkadotnet/akka.net
Sep 2014 - Nov 2015
Canonical actor model implementation for .NET with local + distributed actors in C# and F#.
Role in this project:Back-end Developer
Back-end DeveloperContributions:33 commits, 20 PRs, 12 pushes in 1 year 2 months
Contributions summary:Stefan focused on refactoring and improving logging within the Akka.NET framework. They updated existing `Warn` calls to the more appropriate `Warning` method and flagged the deprecated `Warn` method as obsolete. They also introduced a `LogMessage` container to handle message formatting and arguments more effectively. Further contributions included changes to improve Serilog integration and address minor issues with actor selection.
dotnetconcurrencydistributed-actorsdistributed-programmingc-sharp
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