Jonathan Buck
Senior Software Engineer at Amazon Web Services (AWS)
San Diego, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJonathan Buck is a Senior Software Engineer in San Diego with 11 years of experience building production-grade infrastructure for AI and large-scale web services. At AWS he designed and shipped evaluation systems for LLMs in Amazon Bedrock, drove data annotation tooling that unlocked multi-million dollar opportunities, and helped customers cut labeling costs through SageMaker Ground Truth and a novel PyTorch annotation model. He blends deep numerical and ML experience from aerospace research—where he led a $1M DoD project using TensorFlow and Bayesian methods—with hands-on cloud engineering across S3, EC2, Lambda, and containerized services. Comfortable from research to operations, he routinely steers engineering ops and mentors teams while optimizing real-world workflows to boost reliability and reduce customer cost and time-to-insight.
11 years of coding experience
12 years of employment as a software developer
MS Mechanical Engineering, MS Mechanical Engineering at Georgia Institute of Technology
Github Skills (107)
transformers10
language-model10
python10
amazon-cognito10
sagemaker10
amazon-sagemaker10
mlops10
deep-learning10
aws-s310
javascript10
amplify10
aws-apigateway10
pouchdb10
falcon10
aws-amplify10
Programming languages (8)
Github contributions (5)
jjbuck/amazon-sagemaker-examples
Nov 2018 - Sep 2020
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
Contributions:8 pushes in 1 year 9 months
sagemakeramazon-sagemakerdeep-learningamazonmachine-learning
jjbuck/jonathanjbuck-website
Oct 2018 - Jun 2020
Contributions:21 pushes, 1 branch in 1 year 8 months
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