Clint Greene
Principal Deep Learning Data Scientist
Austin, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolClint Greene is a Principal Deep Learning Data Scientist with nine years of experience applying NLP and recommender systems to production problems, currently building developer-focused AI content and advising enterprise clients on LLM and generative AI workloads at AMD. He has a strong track record of shipping transformer-based solutions—semantic search, classification, summarization, NER, and topic modeling—previously delivering NLP systems at Walmart Global Tech that saved 12,000 associate hours annually. Clint combines rigorous academic research (PhD work on brain connectivity, tractography, and inpainting algorithms) with pragmatic ML lifecycle expertise from product inception through deployment. He is adept at fine-tuning BERT/T5/XLM/RoBERTa families and translating novel research methods into reliable software, making him a bridge between cutting-edge modeling and real-world engineering. Based in Austin, he brings rare interdisciplinary depth—from neuroscience and medical imaging to enterprise-scale NLP—that informs robust, interpretable AI solutions.
9 years of coding experience
15 years of employment as a software developer
B.S., Neuroscience, B.S., Neuroscience at The University of Texas at AustinDoctor of Philosophy (Ph.D.), Electrical and Computer Engineering, Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering at UC Santa Barbara
English, Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (134)
feature-extraction10
topological-data-analysis10
webcam-capture10
statistical-learning10
animated-gif10
denoising10
self-supervised-learning10
gpt10
application10
llama10
amd10
normalization10
cuda10
pytorch10
inference10
Programming languages (6)
Github contributions (5)
clintg6/ShortestPathTools
May 2019 - Apr 2020
Contributions:12 commits, 11 pushes, 1 branch in 11 months
clintg6/DSN
Mar 2017 - Aug 2018
Contributions:13 commits, 12 pushes, 1 branch in 1 year 5 months
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