Stefan Sedich
Director Of AI ML Infrastructure at Sage
San Francisco, California, United States
Summary
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RockstarStefan Sedich is Director of AI/ML Infrastructure in San Francisco with 15 years of experience building cloud-native platforms that help data scientists and engineers ship machine learning projects to production. As a founding member and now leader of Sage AI Labs, he designs self-service infrastructure and tooling that balance developer velocity with operational robustness. His roots in .NET and distributed systems show through long-running open-source contributions—ranging from Akka.NET improvements to Kubernetes-native projects like Emissary and Kiam—demonstrating fluency across backend, orchestration, and IAM integration. He has a practical obsession with observability and production readiness, having driven logging and tracing improvements (Serilog, DataDog APM) and gRPC/Helm operational fixes. Stefan blends hands-on engineering with technical leadership to turn complex ML workflows into reliable, scalable services.
15 years of coding experience
15 years of employment as a software developer
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (46)
env10
kubernetes10
dockerce10
docker10
messaging10
envoyproxy10
back-end-development10
python10
testing10
net10
dotnet-new10
dotnet10
akka10
dockers10
rabbitmq10
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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