Oscar Skean
Lexington, Kentucky, United States
Summary
👤
Senior🎓
Top SchoolOscar Skean is a research-focused software engineer and PhD student in Computer Science at the University of Kentucky, specializing in representation learning and information theory for self-supervised computer vision. With nine years of engineering experience, he bridges rigorous research and production-quality code, having trained CNNs and Transformers to state-of-the-art performance and developed practical estimators and information-theoretic losses that improve sample efficiency. He has applied his skills in industry through roles at Triton International and a machine learning engineering internship at Stripe, and is passionate about leveraging HPC to scale large ML workloads. Beyond model performance, he explores scalable techniques to quantify and explain the knowledge embedded in multimodal neural networks, combining theoretical insight with hands-on systems engineering.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Kentucky
Github Skills (53)
representation-learning10
pytorch10
python10
machine-learning10
pytorch-lightning10
audio10
deep-learning10
self-supervised-learning10
gpu10
natural-language-processing10
nlp10
contrastive-learning10
transformer9
machine-learning-models9
transformers9
Programming languages (4)
Github contributions (5)
OFSkean/competitive-programming
Feb 2022 - Mar 2023
Contributions:48 commits, 37 pushes, 1 branch in 1 year 1 month
uk-cliplab/representation-itl
May 2022 - Jul 2022
Contributions:28 commits, 15 pushes, 3 branches in 2 months
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