Principal Machine Learning Engineer I at CesiumAstro
Knoxville, Tennessee, United States
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Summary
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Senior
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Top School
Zack Taylor is a Principal Machine Learning Engineer with eight years of cross-disciplinary experience, transitioning from chemical and nuclear engineering research into production-grade ML and computer vision systems. He has driven end-to-end projects—scraping and processing multimedia at scale, building real-time message brokers, and deploying containerized ML services on AWS with Kubernetes—while also contributing scientific simulation code for advanced reactor modeling during his PhD work. Comfortable in both C++ numerical libraries and Python ML stacks, he blends rigorous simulation background with practical engineering to solve hard data and performance problems. Notably, his work spans synthetic OCR text generation, image tiling for large-scale detection, and experiments with KServe-compatible inference and pgvector-backed retrieval, reflecting a strong focus on deployable ML infrastructure. Based in Knoxville, he brings an unusual combination of nuclear engineering depth and hands-on production ML experience that helps bridge research and operational systems.
8 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Chemical Engineering, Bachelor's degree, Chemical Engineering at Mississippi State University
Doctor of Philosophy - PhD, Nuclear Engineering, Doctor of Philosophy - PhD, Nuclear Engineering at University of Tennessee, Knoxville
A python library that containts algorithms for computing the exponenital of a matrix and the action of a matrix exponential on a vector. This project also contains helper tools to interact with text files from SCALE to build the nuclide transition matrix
Contributions:3 PRs, 24 pushes, 5 branches in 4 months
python
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