Ben Snyder
Applied Scientist - Deep Learning at Amazon Web Services (AWS)
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolBen Snyder is an applied scientist specializing in deep learning with a decade of experience building and productizing high-performance distributed models, currently driving computer vision and training optimizations at AWS SageMaker. He has a rare blend of rigorous social-science training (Harvard PhD work in sociology) and hands-on engineering (Master’s in Computer Engineering), which he applies to causal, econometric, and ML problems across industry and research. At AWS he set new SOTA records for training time and has advised major customers on TensorFlow and PyTorch scaling; previously at Capital One he improved time-series credit risk models and taught Bayesian and causal methods to leadership. Comfortable with both research and production, he authors tooling for large longitudinal and network datasets and has built ML systems in TensorFlow, XGBoost, Spark, and Stan. Outside work he pairs statistics and econometrics expertise with an offbeat interest in thrash metal, hinting at a detail-oriented yet creatively driven approach to problem solving.
10 years of coding experience
3 years of employment as a software developer
Master’s Degree, Computer Engineering, 3.9, Master’s Degree, Computer Engineering, 3.9 at Boston UniversitySanger High SchoolMaster's Degree, Sociology, 3.8, Master's Degree, Sociology, 3.8 at Harvard UniversityBachelor's Degree, Sociology, 3.7, Bachelor's Degree, Sociology, 3.7 at University of Oklahoma
Github Skills (73)
python10
sagemaker10
amazon-sagemaker10
mlops10
deep-learning10
gpu10
numpy10
neural-network10
jupyter10
data-science10
reinforcement-learning10
tensorflow10
jupyter-notebook10
amazon10
machine-learning-models10
Programming languages (3)
Github contributions (5)
aws-samples/amazon-sagemaker-cv
Aug 2021 - Aug 2022
Contributions:1 review, 27 commits, 6 pushes in 11 months
johnbensnyder/DeepLearningExamples
Jul 2019 - Jan 2021
Deep Learning Examples
Contributions:1 review, 6 PRs, 115 pushes in 1 year 6 months
pythoncaffe2deep-learningmachine-learningcaffe
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.