Tianshi Wang
Research Scientist at Amazon
Greater Seattle Area United States
Summary
👤
Senior🎓
Top SchoolTianshi Wang is a research scientist at Amazon Seattle specializing in LLM/VLM-based multi-agent systems, RAG, and web agents that measurably improve Amazon Shopping’s revenue and customer experience. He completed a Ph.D. in Computer Science at UIUC in 2024, where he pioneered generative augmentation methods for time-series sensing (diffusion/VAE/GAN) with publications in NeurIPS, INFOCOM, SenSys (Best Paper), and Ubicomp. Across 11 years of experience spanning academia, industry research, and internships at IBM, he blends deep-learning theory with production engineering to build agentic AI pipelines and foundation models for sensor and shopping applications. Notably, his work on pretraining inertial-sensor foundation models demonstrated cross-domain transfer under extreme data scarcity—a practical insight he now applies to large multimodal systems.
11 years of coding experience
5 years of employment as a software developer
Bachelor's degree Software Engineering, Bachelor's degree Software Engineering at Sichuan UniversityDoctor's Degree Computer Science, Doctor's Degree Computer Science at University of Illinois Urbana-Champaign
Github Skills (18)
pytorch4
machine-learning4
deep-learning4
data-processing4
computer-vision4
time-series3
facebook2
css2
yolov52
nodejs2
object-detection2
onnx1
coreml1
javascript1
nextjs1
Programming languages (2)
Github contributions (5)
SocialSim/SocialCube
May 2018 - Jun 2019
Contributions:156 commits, 8 PRs, 109 pushes in 1 year 1 month
leowangx2013/PyCheb
Apr 2016 - Oct 2016
Contributions:4 commits, 11 pushes, 1 branch in 5 months
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