Steven Tran
Infrastructure Engineer at MBTA
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolSteven Tran is a Software Engineer with four years of experience building and operating large-scale AI/ML infrastructure at AWS SageMaker, focusing on control plane metering, region expansion automation, and inference services. Based in Seattle, he has progressed from intern to SDE II driving reliability and deployment automation for mission-critical ML platforms. He combines backend systems design, deployment automation, and data-informed metering work with hands-on experience in full-stack and DevOps tooling from prior internships. Outside of work he trains in powerlifting and experiments with cooking, a discipline that mirrors his iterative, metrics-driven approach to engineering. Colleagues rely on him for pragmatic solutions that balance scale, observability, and operational simplicity.
5 years of coding experience
5 years of employment as a software developer
High School Diploma, High School/Secondary, High School Diploma, High School/Secondary at Central Catholic High SchoolBachelors Degree, Computer Science and Statistics, Bachelors Degree, Computer Science and Statistics at University of Massachusetts Amherst
Github Skills (10)
huggingface9
amazon-sagemaker8
sagemaker8
python8
aws8
tensorflow7
mxnet7
pytorch7
machine-learning7
machine-learning-models5
Programming languages (1)
Github contributions (1)
aws/sagemaker-python-sdk
Jun 2021 - Jun 2021
A library for training and deploying machine learning models on Amazon SageMaker
Contributions:1 review in 1 day
amazon-sagemakermachine-learning-modelsawsmxnettensorflow
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