Dylan Shoemaker
Machine Learning Engineer - Watson NLP
Denver, Colorado, United States
Summary
👤
Senior🎓
Top SchoolDylan Shoemaker is a Machine Learning Engineer with eight years of experience building ML systems, operationalizing models, and applying computational statistics across enterprise and startup settings. He has driven measurable improvements—such as 20–30% gains in NLP model quality and halving model deployment time at IBM—by designing fine-tuning pipelines, containerized evaluation frameworks, and scalable probabilistic models. Comfortable across the stack, Dylan combines deep learning (TensorFlow/PyTorch) and classical stats with production tooling like Kubernetes and SQL/NoSQL datastores. He co-founded a data-driven academic planning startup, engineered large-scale ETL and web-scraping pipelines, and delivered high-accuracy predictive maintenance solutions during internships. Based in Denver, he blends research-minded experimentation with customer-facing collaboration and a knack for turning complex telemetry into actionable, production-ready systems.
8 years of coding experience
Computational Data Science and Applied Statistics, Data Science, Computational Data Science and Applied Statistics, Data Science at Penn State UniversityGithub contributions (5)
dshoe17/Deep-SER
Feb 2020 - Nov 2020
Contributions:12 commits, 11 pushes, 2 branches in 9 months
rgangu/chicago
Apr 2019 - May 2019
Contributions:21 pushes, 1 branch in 11 days
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