Wilton W
Engineering, Platform
New York City Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolWilton W is an experienced platform engineer with nine years building production systems across fintech, cloud, and sports data. He currently shapes platform engineering at Affirm after leading ML initiatives as a Technical Lead at AWS and delivering data-driven solutions at Major League Baseball. Trained in EECS at UC Berkeley, he combines rigorous systems thinking with practical machine learning and data engineering experience. Wilton excels at bridging scalable infrastructure and ML teams to turn experimental models into reliable services. Based in the New York City metro area, he brings strong cross-domain fluency that helps teams move faster without sacrificing operational rigor. Colleagues know him for translating complex requirements into pragmatic, production-ready platforms.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.S.), Electrical Engineering and Computer Science, Bachelor of Science (B.S.), Electrical Engineering and Computer Science at University of California, Berkeley
Github Skills (32)
machine-learning-models10
data-science10
machine-learning10
inference10
reinforcement-learning10
sagemaker10
amazon-sagemaker10
huggingface10
mlops10
deep-learning10
aws10
docker-container10
jupyter-notebook10
pytorch9
python9
Programming languages (4)
Github contributions (5)
aws/sagemaker-scikit-learn-extension
Nov 2019 - May 2021
A library of additional estimators and SageMaker tools based on scikit-learn
Contributions:9 releases, 22 reviews, 13 commits in 1 year 5 months
sagemakerscikit-learn
data-8/materials-x18
Feb 2018 - Aug 2018
Publicly available materials that are used in the Data 8X Foundations of Data Science course on EdX in 2018. Generated by data-8/assignments (private).
Contributions:123 commits, 103 pushes, 1 branch in 6 months
data-science
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