Elise Reppond
Machine Learning Engineer at Swish Analytics
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolElise Reppond is a Machine Learning Engineer with eight years of experience building production-ready AI solutions, currently focused on reinforcement learning, simulation development, and large language models. She has driven measurable impact—designing a dynamics simulator and training an RL agent that cut waste by 3.8% and raised throughput by 8.7% for a food manufacturer—while scaling NLP classifiers across multiple business use cases. Elise blends hands-on Python engineering with cloud-savvy platform evaluation, having led a SWOT-style assessment of generative AI offerings and influenced a hybrid GCP/Hugging Face strategy. Her background spans healthcare, manufacturing, and enterprise automation, and she pairs technical execution with clear communication to non-technical stakeholders. A Georgia Tech MS in Computer Science and prior roles at Neal Analytics and Microsoft underpin her ability to move models from prototype to impact.
8 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree Mathematics and Philosophy; Minor in Spanish, Bachelor’s Degree Mathematics and Philosophy; Minor in Spanish at University of WashingtonMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of TechnologyCertificate Data Science, Certificate Data Science at Galvanize Inc
Stackoverflow
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Github Skills (1)
graph1
Programming languages (1)
Github contributions (5)
ereppond/housing-recommender
Apr 2018 - Sep 2018
Contributions:281 commits, 98 pushes, 1 branch in 5 months
ereppond/CSE6242-GroupProject
Mar 2023 - Apr 2023
Contributions:1 PR, 21 pushes, 1 branch in 25 days
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