Neale Ratzlaff
Principal Applied Scientist at Oracle
Portland, Oregon, United States
Summary
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Senior🎓
Top SchoolNeale Ratzlaff is a Principal Applied Scientist based in Portland with 11 years of experience bridging research and engineering in AI, specializing in LLMs, generative models, implicit neural representations, and Bayesian deep learning. He holds a PhD in Computer Science and has led multimodal and RL-focused research programs at Intel Labs, HRL, and now Oracle, with a track record of moving ideas from intern-proof-of-concept to production-relevant outcomes. His interests gravitate toward test-time reasoning and "old-school" agent designs while still engaging deeply with modern training methods. Neale’s background spans academia and industry, combining rigorous probabilistic methods from his graduate work with practical systems engineering experience from internships at Intel and Tektronix. Colleagues describe him as equally comfortable proving theoretical properties and shipping experimental systems that influence product roadmaps. He often brings Bayesian perspectives to contemporary generative modeling problems, offering atypical rigor in uncertainty-aware AI research.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Oregon State University
Github Skills (102)
python10
deep-learning10
gpu10
gpu-acceleration10
acceleration10
numpy10
neural-network10
tensor10
tensorflow10
autograd10
machine-learning10
autoencoder9
sdk9
hardware9
data-science9
Programming languages (8)
Github contributions (5)
neale/Improved-WGAN
Sep 2018 - Feb 2019
Contributions:17 commits, 14 pushes, 1 branch in 5 months
neale/alf
Aug 2020 - Sep 2021
Agent Learning Framework https://alf.readthedocs.io
Contributions:97 pushes, 20 branches in 1 year 1 month
agentmachine-learningalfframework-learningreadthedocs
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