Mark Bunday
Machine Learning Algorithms Engineer II at University of Minnesota
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolMark Bunday is a Machine Learning Algorithms Engineer II with a decade of experience building production-ready ML infrastructure and models, currently leading technical efforts on the SageMaker Algorithms team at AWS in New York. He partners with research scientists to turn open-source PyTorch and TensorFlow hub models into 1-click training and inference experiences on SageMaker JumpStart, blending hands-on systems engineering with ML research. His background includes migrating and hardening Python systems, optimizing serverless APIs for large performance gains, and advising researchers on HPC resource usage. A dual BS in Computer Science and Statistical Science from the University of Minnesota underpins his ability to bridge rigorous statistics and scalable software. He also mentors university students and has experience designing curriculum and tooling to make ML more accessible. Notably, his work focuses on reducing adoption friction for ML practitioners by packaging complex models and infrastructure into simple, repeatable workflows.
10 years of coding experience
1 year of employment as a software developer
University of Minnesota Twin Cities
Github Skills (52)
pytorch10
docker10
deploying10
machine-learning-models10
jupyter10
data-science10
python10
nearest-neighbors10
mxnet10
machine-learning10
inference10
similarity10
amazon-web-services10
reinforcement-learning10
sagemaker10
Programming languages (8)
Github contributions (5)
mabunday/twitter-news-scraper
Jun 2018 - Feb 2023
Contributions:58 pushes, 1 branch in 4 years 8 months
mabunday/deep-learning-containers
Dec 2023 - Apr 2024
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
Contributions:104 pushes in 3 months
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