Travis Kessler
Research Engineer at AIMdyn, Inc.
Village of Schaghticoke, New York, United States
Summary
👤
Senior🎓
Top SchoolTravis Kessler is a Research Engineer and PhD in Computer Engineering from UMass Lowell with nine years of experience applying machine learning to real-world STEM problems. He specializes in predictive modeling for combustion and next-generation biofuels, combining neural networks, multivariate regression, and probabilistic/statistical techniques to extract actionable insights from complex data. Travis also explores optimization algorithms—such as artificial bee colonies and genetic approaches—to improve model performance and solve engineering design challenges. His background spans research, teaching, and DevOps, giving him a practical edge in productionizing data pipelines and custom ML tooling. Based in upstate New York, he’s an open-source advocate who pairs academic rigor with hands-on software engineering to move models from lab prototypes to client deployments.
10 years of coding experience
4 years of employment as a software developer
High School Diploma, Primary Education, Graduate, High School Diploma, Primary Education, Graduate at Groton-Dunstable Regional High SchoolUMass Lowell
English
Github Skills (30)
pytorch10
python10
rdkit10
computational-chemistry10
message-passing10
pytorch-geometric10
graph-neural-network10
machine-learning9
gleam9
neural-network9
api9
colony8
genetic-algorithm8
hyperparameter-optimization7
octane7
Programming languages (4)
Github contributions (5)
tjkessler/pygenetics
Jun 2018 - Aug 2019
Genetic algorithm framework for tuning arbitrary functions
Contributions:11 releases, 48 commits, 8 PRs in 1 year 2 months
genetic-algorithmhyperparameter-optimizationhyperparameter-searchhyperparameter-tuningoptimization-algorithms
ecrl/alvadescpy
Jun 2019 - Sep 2022
A Python wrapper for alvaDesc software
Contributions:5 releases, 7 commits, 2 PRs in 3 years 3 months
pythoncomputational-chemistrycommand-line-wrappermolecular-descriptorsmolecular-fingerprints
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