Taylor Beever

Staff Data Platform Engineer

Golden, Colorado, United States
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Summary

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Senior
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Taylor 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.
code9 years of coding experience
job16 years of employment as a software developer
bookBachelor’s Degree, Engineering Mechanics, Bachelor’s Degree, Engineering Mechanics at University of Illinois Urbana-Champaign
bookMachine Learning and Data Analysis, Machine Learning and Data Analysis at Udemy Academy
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Stackoverflow

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Github Skills (200)

rarity10
opensea10
jupyter-extension10
sqlx10
rusqlite10
python10
piccolo10
editor10
solana10
microsoft10
resolver10
crypto10
dataframes10
rust10
query-builder10

Programming languages (13)

PowerShellC++RustCPLpgSQLScalaGoTypeScript

Github contributions (5)

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theelderbeever/mulligan

Oct 2024 - May 2026

Contributions:4 releases, 2 reviews, 11 PRs in 1 year 6 months
theelderbeever/prai-cli

Jun 2025 - Aug 2025

Contributions:1 release, 3 reviews, 16 PRs in 1 month
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