Scott Siegel
Senior Platform Engineer
Salt Lake City, Utah, United States
Summary
👤
Senior🎓
Top SchoolScott Siegel is a Senior Platform Engineer with a decade of experience designing cloud-native data and ML platforms, specializing in GCP services like BigQuery, Dataflow, Vertex AI, and Kubernetes. He translates business needs into scalable data infrastructure and MLOps pipelines, partnering across product and engineering teams to drive insight-driven features. Scott’s background blends rigorous statistical training (BS in Statistics) and advanced CS study (MS from University of Utah) with hands-on roles from research modeling at BYU to production platform work at MX. He has progressed through backend and full-stack engineering into platform leadership, bringing both implementation depth and cross-functional delivery experience. Based in Salt Lake City, Scott pairs academic research instincts with practical, production-grade engineering to move models from experimentation into reliable, observable systems.
10 years of coding experience
7 years of employment as a software developer
The University of UtahBachelor of Science (B.S.), Statistics, Bachelor of Science (B.S.), Statistics at Brigham Young University
Github Skills (101)
threejs10
react-three-fiber10
svg10
3d10
javascript10
animation10
matlab10
fiber10
webgl10
virtual-reality10
canvas10
renderer10
react10
pinch9
gestures9
Programming languages (6)
Github contributions (5)
snsie/bme3053c_2024
Aug 2024 - Jan 2025
Contributions:45 pushes in 4 months
uf-bme/bme3053c
Aug 2024 - Jan 2025
Contributions:64 pushes, 1 branch in 4 months
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