Laygond Bryan
New York, New York, United States
Summary
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SeniorBryan Li is a research scientist based in New York with nine years of experience at the intersection of multilingual NLP, cross-lingual information retrieval, and large language model applications. He holds a PhD from the University of Pennsylvania and has translated academic insights into industry impact through roles and internships at Google, Amazon, and Microsoft, focusing recently on embedding models for Search. His work spans both foundational research—evaluating long-form outputs and multilingual RAG systems—and product-facing problems like translation and conversational NLU, with papers and workshop contributions across NAACL, ACL, and SIGIR venues. Comfortable moving between academia and industry, he has repeatedly collaborated with Johns Hopkins and Columbia labs, bringing linguistic breadth (English and Mandarin) to speech and translation projects. Colleagues note his knack for turning multilingual theory into practical, scalable systems that improve real-world retrieval and reasoning.
9 years of coding experience
Github Skills (35)
keras10
image-processing9
opencv9
object-detection9
computer-vision9
deep-learning8
mask-rcnn8
ai8
instance-segmentation8
tensorflow8
machine-learning8
python7
cpp7
deep-neural-networks5
css-grid5
Programming languages (6)
Github contributions (5)
laygond/laygond.github.io
Aug 2017 - Jan 2026
Contributions:14 pushes, 1 branch in 8 years 6 months
laygond/Adaptive-Monte-Carlo-Localization
Jun 2019 - Sep 2019
Contributions:25 commits, 13 pushes, 1 branch in 3 months
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