Eric Slyman
ML Research Engineer at Adobe
Portland, Oregon, United States
Summary
👤
Senior🎓
Top SchoolEric Slyman is an ML research engineer and PhD candidate based in Portland with nine years of experience building and evaluating vision-and-language models. At Adobe he focuses on model evaluation, safety/harm mitigation, and intelligent prompting for FireFly, bringing research-grade rigor to product-scale ML. His work spans large-scale CLIP training, fair deduplication to reduce subgroup disparities, and behavioral testing that exposes visiolinguistic biases in web-trained embeddings. Prior roles at PNNL and Western Washington demonstrate strengths in differentiable rendering, audiovisual fusion, and GAN-based earth-system emulation that cut inference from weeks to minutes. He combines academic depth with practical engineering—training LAION-scale models on 100+ GPUs and shipping interactive tools for rapid model testing. Outside core research he has a track record of translating complex methods into user-facing interfaces and public-facing science communication.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science and Artificial Intelligence, Doctor of Philosophy - PhD Computer Science and Artificial Intelligence at Oregon State UniversityMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Western Washington University
Github Skills (21)
jekyll9
visual-question-answering8
jekyll-theme8
github-pages8
zero-shot-classification7
language-model7
computer-vision6
clip6
3d5
deep-learning5
django5
pytorch5
multimodal4
vision-and-language4
python3
Programming languages (4)
Github contributions (5)
slymane/slymane.github.io
Apr 2019 - Jan 2023
Contributions:25 commits, 125 pushes, 7 branches in 3 years 9 months
Student-Technology-Center/evaluations
Aug 2017 - Nov 2018
App to display evaluations page on wwustc
Contributions:2 PRs, 21 pushes, 1 branch in 1 year 3 months
evaluations
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