Taylor Beever
Staff Data Platform Engineer
Golden, Colorado, United States
Summary
👤
Senior🎓
Top SchoolTaylor Beever is a Staff Data Platform Engineer with nine years of experience building data-driven systems that bridge physics-based simulation and modern ML/MLops. With a foundation in Engineering Mechanics from UIUC, he moved from simulation and research roles at Caterpillar and Lockheed Martin into production data engineering, leading projects that combined SQL, GraphQL, Airflow, Kubernetes/Openshift, and custom Python tooling. He’s driven practical MLOps and model monitoring efforts, has led full-stack ML projects from scraping to API, and is comfortable translating complex physical models into reproducible data pipelines. Known for being self-taught in Python and for automating tedious engineering workflows, he brings a hands-on mindset that both mentors teams and accelerates product delivery. Based in Golden, Colorado, he thrives on learning from peers while improving systems that turn simulation and sensor data into actionable predictions.
8 years of coding experience
16 years of employment as a software developer
Bachelor’s Degree Engineering Mechanics, Bachelor’s Degree Engineering Mechanics at University of Illinois Urbana-ChampaignMachine Learning and Data Analysis, Machine Learning and Data Analysis at Udemy Academy
Github Skills (200)
rest-api-documentation10
metadata10
rarity10
visual-studio10
client-library10
opensea10
scheduler10
api10
jupyter-extension10
sqlx10
rusqlite10
oauth10
python10
piccolo10
editor10
Programming languages (13)
Github contributions (5)
theelderbeever/mulligan
Oct 2024 - Dec 2024
Contributions:2 releases, 2 reviews, 9 PRs in 1 month
theelderbeever/git-plugins
Nov 2021 - Mar 2023
Contributions:5 pushes, 1 branch in 1 year 4 months
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