Chase Gaudet
Director Of Machine Learning at RxSense
Lafayette, Louisiana, United States
Summary
👤
Senior🎓
Top SchoolChase Gaudet is a Director of Machine Learning and Ph.D. with a decade of hands-on experience turning deep learning research into production-grade solutions across healthcare, defense, and energy sectors. He began as a physicist before pivoting to CNN-driven research and has a proven track record of creating 0-to-1 AI products, including MVPs that helped win a $75M Navy contract and NLP systems that unlocked multi-million dollar revenue. At Fugro he pioneered novel sonar, LiDAR, and satellite-image models that preserved profitability through an industry downturn, and at RxSense he now leads machine learning strategy and delivery. Chase blends technical depth—MS in Theoretical and Mathematical Physics, MS and PhD in Computer Science focused on deep learning—with cross-functional leadership, coaching distributed teams and scoping complex RFP-driven projects. He’s comfortable moving between low-level model innovation and high-level business impact, and often empowers teams through reusable Python tooling and best-practice evangelism. Based in Lafayette, Louisiana, he brings a rare mix of academic rigor and practical product instincts to drive applied AI forward.
9 years of coding experience
4 years of employment as a software developer
Master of Science (MS), Theoretical and Mathematical Physics, Master of Science (MS), Theoretical and Mathematical Physics at University of Louisiana at Lafayette
Github Skills (1)
deep-learning4
Programming languages (2)
Github contributions (5)
gaudetcj/VectorMapConvolution
May 2019 - Sep 2020
Contributions:10 commits, 7 pushes, 1 branch in 1 year 4 months
gaudetcj/DeepQuaternionNetworks
Mar 2018 - Jul 2018
Code for Deep Quaternion Networks
Contributions:11 commits, 7 pushes, 1 branch in 4 months
deep-learningquaternion
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