Axel Magnuson
Artificial Intelligence Engineer at Writer
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolAxel Magnuson is an Artificial Intelligence Engineer with 13 years of experience building scalable big data, ML, and distributed systems, currently focused on AI product work in Seattle. He has deep cloud and data-processing chops from multiple roles at Google—contributing to Cloud Dataproc, Vertex AI, and ADAS basemaps—and is an active backend contributor to high-profile open-source projects like Apache Beam. A pragmatic polyglot, Axel moves between Rust, Java, and Python to design stateful services, refactor core job interfaces, and ship reliable unit-tested components and artifact retrieval mechanisms. His background blends research-grade ML and distributed-computing work from academia with hands-on DevOps and deployment experience, including Dataproc init actions and container registry integrations. Known for translating research into production systems, he pairs curiosity about algorithmic scalability with a taste for low-level engineering and operational robustness.
13 years of coding experience
12 years of employment as a software developer
Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at Boise State UniversityThe University of Melbourne
Stackoverflow
1,192reputation
109kreached
19answers
26questions
Github Skills (26)
docker10
apache-flink10
big-data10
bash10
flink-sql10
dockers10
java10
gcp10
javas10
apache-beam10
grpc10
beam9
testing9
beamng9
system-administration8
Programming languages (12)
Github contributions (5)
GoogleCloudDataproc/initialization-actions
Sep 2018 - Sep 2018
Run in all nodes of your cluster before the cluster starts - lets you customize your cluster
Role in this project:
DevOps Engineer & Backend Developer
DevOps Engineer & Backend DeveloperContributions:5 commits, 10 PRs, 4 pushes in 16 days
Contributions summary:Axel's contributions primarily revolve around enhancing the Dataproc initialization actions. They focused on integrating Flink by adding the capability to install it from a custom snapshot URL and managing its configuration. The user also configured Docker to use the Google Container Registry and added an init action to set up a Beam Job Service on the master node. Further modifications included fixing and reverting an issue related to the artifact paths for Beam.
nodesgoogle-cloud-dataprockubernetescustomizeterraform
apache/beam
Mar 2018 - Jun 2018
Apache Beam is a unified programming model for Batch and Streaming data processing.
Role in this project:Backend Developer
Backend DeveloperContributions:19 commits, 15 PRs, 112 comments in 3 months
Contributions summary:Axel primarily worked on backend development tasks within the Apache Beam project. Their contributions include adding generic interfaces for state services, creating and fixing job-related interfaces, and refactoring the code. Furthermore, the user wrote unit tests for core components like GrpcStateService and implemented artifact retrieval capabilities.
golangpythonstreaming-databeambatch
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