Curtis Brinker

R&D S&E, Computer Science at Sandia National Laboratories

Missouri, United States
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Summary

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Senior
🎓
Top School
Curtis Brinker is a research software engineer at Sandia National Laboratories with eight years of experience building data-driven systems, machine learning models, and autonomous vehicle simulations. He holds a BS and MS in Computer Science from Missouri S&T and has a track record of turning research prototypes into production-ready pipelines, from CARLA/Autoware simulations for NSF-funded survivability studies to AWS-based ETL and SageMaker deployment at Principal Financial. Curtis blends deep-learning work in TensorFlow and PyTorch with practical data engineering—creating internal Python tooling, SQL designs, and automated AWS CDK infrastructure—to close the gap between research and operational systems. Based in Missouri, he brings a disciplined, academic rigor (multiple 4.0 GPAs) alongside a pragmatic, problem-solving approach that teammates describe as “professional nerd” work ethic. Notably, his background spans both hands-on device/IT support and advanced R&D, giving him an unusual combination of infrastructure savvy and algorithmic depth.
code8 years of coding experience
job3 years of employment as a software developer
bookAssociate's degree, Pre-Engineering, 4.0 GPA, Associate's degree, Pre-Engineering, 4.0 GPA at East Central Community College
bookMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Missouri University of Science and Technology
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Github Skills (51)

classification9
computer-vision9
object-detection8
yolov58
coreml8
inference8
tensorrt8
onnx8
tflite8
pytorch8
pytesseract8
image-classification8
simulator7
machine-learning7
instance-segmentation7

Programming languages (4)

C#C++RustPython

Github contributions (5)

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sandialabs/elucidator

Oct 2024 - Jul 2025

Contributions:5 reviews, 4 PRs, 12 pushes in 10 months
scr-3104snl-other
cubrink/cosmo

Nov 2021 - Apr 2022

Contributions:3 commits, 20 pushes, 1 branch in 5 months
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