Michael Whitmer
Summer Intern at Oak Ridge National Laboratory
Knoxville, Tennessee, United States
Summary
👤
Senior🎓
Top SchoolMichael Whitmer is a Computer Science undergraduate at the University of Tennessee focused on machine learning, with nine years of hands-on experience and multiple internships including Oak Ridge National Laboratory and iXSystems. He builds full-stack web applications using Angular Material and Electron, and applies ML techniques to both supervised and unsupervised problems. His research interest blends genetics and neural networks, with a particular enthusiasm for adapting NeuroEvolution of Augmenting Topologies (NEAT) to accelerate AI development. Based in Knoxville, he brings practical lab and industry experience to bridge research ideas with production-capable software. Colleagues value his ability to move from prototype to deployable applications while keeping an eye on novel algorithmic approaches.
9 years of coding experience
University of Tennessee, Knoxville
Github Skills (39)
steam10
energy-efficiency10
mercury10
ord10
energy-data10
modeling-tool10
factory10
energy10
industrial10
electrical-engineering10
calculation10
modeling10
prediction-model9
power-systems9
hpc-applications9
Programming languages (3)
Github contributions (5)
ORNL-AMO/Sliding-Regression-Tool
Feb 2018 - May 2018
This is a application used to preform linear regression based math on excel files of energy data to find rSquare values, savings percentages, fitted models, and p values (still in the works). Data is shown through two different ways, the first being a heatmap based on rSquare values, and the second being a graph of both rSquare values and savings percentage.
Contributions:1 release, 19 PRs, 32 pushes in 2 months
smoothingp-valuesresamplingstatisticssplines
Mlwhitmer/encryption2
Nov 2018 - Nov 2018
Contributions:7 pushes, 3 branches in 4 days
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