Mike Shen
Software Engineer at Amazon Web Services (AWS)
Bellevue, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolMike Shen is a software engineer focused on cloud infrastructure and distributed systems, currently building Kubernetes-backed training infrastructure for AWS SageMaker. He brings a decade-long background designing scalable, multi-tenant orchestration, resource allocation, and event-driven systems, with prior experience launching identity services for Amazon’s Buy with Prime and large-scale data pipelines at Bloomberg. At Bloomberg he delivered Kafka-based trade matching, Elasticsearch search platforms with NLP components, and Spark-driven reporting—skills that surface in his work enabling ML workloads to run reliably at scale. Based in Bellevue, Washington, he combines hands-on implementation with cross-functional architecture leadership and a knack for migrating live data with minimal disruption. Colleagues would note his practical blend of systems engineering and platform thinking that turns complex, multi-team requirements into production-ready infrastructure.
3 years of coding experience
9 years of employment as a software developer
Master's degree Computer Engineering, Master's degree Computer Engineering at Boston University
English
Github Skills (21)
pytorch10
deploying10
python10
machine-learning-models10
mxnet10
sagemaker10
huggingface10
aws10
spark-framework10
amazon10
docker-image9
machine-learning9
tensorflow9
amazon-sagemaker9
emr8
Programming languages (1)
Github contributions (5)
xiaoxshe/sagemaker-hyperpod-cli
Oct 2024 - Jan 2025
A CLI tool that helps manage training jobs on the SageMaker HyperPod clusters orchestrated by Amazon EKS
Contributions:14 pushes in 3 months
aws/sagemaker-hyperpod-cli
Sep 2024 - Feb 2025
A CLI tool that helps manage training jobs on the SageMaker HyperPod clusters orchestrated by Amazon EKS
Contributions:2 releases, 16 reviews, 11 PRs in 4 months
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