Songyao Jiang
Software Engineer at Northeastern University
Boston, Massachusetts, United States
Summary
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SeniorSongyao Jiang is a Senior Applied Scientist at Amazon AGI based in Boston with nine years of experience bridging academic rigor and production-scale multimodal AI systems. Holding a Ph.D. in Computer Engineering from Northeastern University and an MS from the University of Michigan, Songyao has moved from deep research roles into applied science across Amazon device and AGI teams, shipping models and prototypes that connect vision, language, and systems. He combines a strong research foundation in power and engineering contexts with hands-on experience deploying foundation-model capabilities in product settings, often translating complex papers into production-ready solutions. Colleagues describe him as someone who elevates cross-functional teams by turning experimental ideas into measurable features, and his career path reflects a steady progression from international research collaborations to leadership within Amazon’s cutting-edge AI initiatives.
9 years of coding experience
Github Skills (29)
generative-model9
language-recognition8
diagram7
segmentation7
generative-adversarial-network7
graph-convolutional-networks7
clip6
javascript6
pytorch5
openai-api4
lmms4
evaluation4
large-language-models4
deep-learning4
whiteboard4
Programming languages (3)
Github contributions (5)
jackyjsy/SAM-SLR-v2
Aug 2021 - Oct 2021
SAM-SLR-v2 is an improved version of SAM-SLR for sign language recognition.
Contributions:10 commits, 6 pushes, 1 branch in 2 months
language-recognitionsign-language-recognitionsign-language-recognition-systemgraph-convolutional-networksmulti-modal-learning
jackyjsy/SCGAN
Jan 2019 - Jan 2022
Spatially Constrained GAN (SCGAN)
Contributions:53 commits, 4 PRs, 45 pushes in 3 years
pytorchdeep-learninggenerative-modelgenerative-adversarial-networkgan
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