Madison Hobbs
Machine Learning Engineer at WattTime.org
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolMadison Hobbs is a machine learning engineer with nine years of experience applying computer vision and deep learning to remote sensing and climate-related problems. Currently at WattTime.org after contributing to trusted AI, adversarial robustness, and reinforcement learning projects at The Aerospace Corporation, she blends rigorous research with production-focused MLOps. Her background spans applied data science, topic modeling and recommender systems, and years of tutoring and mentoring that sharpen her ability to communicate complex technical ideas to non-technical stakeholders. She is motivated by climate mitigation and terrestrial sustainability, bringing domain experience in Arctic paleoclimate reconstruction and large-scale geospatial analysis. Madison pairs strong mathematical training from Harvey Mudd/Scripps with hands-on engineering to deliver interpretable, uncertainty-aware ML systems. Outside work she is actively engaged in local civic causes, reflecting a practical commitment to science-driven public impact.
9 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree, Mathematics and Computer Science, Harvey Mudd College, 3.75, Bachelor’s Degree, Mathematics and Computer Science, Harvey Mudd College, 3.75 at Scripps CollegeHigh School, 4.0/4.0, High School, 4.0/4.0 at Edina High School, Edina MinnesotaHarvey Mudd College
English, French, Spanish, Chinese
Github Skills (20)
r-package6
sequential5
testbed5
reinforcement-learning-environments5
api-client4
power-systems4
api4
opendap4
science4
python3
decision-making3
reinforcement-learning3
data-access3
machine-learning3
issue-tracking3
Programming languages (3)
Github contributions (5)
shota-yasunaga/ML_Project
Apr 2018 - Aug 2018
Contributions:47 commits, 35 pushes in 4 months
latlio/SurvivalAnalysis
Apr 2019 - May 2019
Contributions:29 PRs, 45 pushes in 1 month
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