Shuguang Chen
Staff Applied Scientist at DigitalOcean
Bellevue, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolShuguang Chen is a Staff Applied Scientist with a Ph.D. in Computer Science and six years of experience building and researching NLP and agentic AI systems, currently driving LLM autonomy and orchestration at DigitalOcean after a senior applied scientist role at Katanemo. His work focuses on multi-step planning, adaptive decision-making, function calling, and LLM routing to enable tool-augmented agents that plan, act, and collaborate reliably in dynamic environments. He blends academic rigor from a postdoc at Purdue and doctoral research at the RiTUAL Lab with hands-on product research, having explored temporal text modeling at Microsoft and practical information extraction for biomedical and scientific domains. Based in Bellevue, WA, Shuguang is especially interested in designing interpretable allocation strategies across heterogeneous LLMs to optimize task performance under real-world constraints.
6 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 HoustonBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Beijing Forestry University
Chinese, English
Github Skills (9)
proxy10
proxy-server10
openai10
envoyproxy10
gateway10
generative-ai10
prompt10
llmops9
llm-inference9
Programming languages (2)
Github contributions (5)
RiTUAL-UH/style_NER
Aug 2021 - Apr 2022
Contributions:6 commits, 5 pushes, 1 branch in 7 months
RiTUAL-UH/multimodal_NER
Sep 2021 - Nov 2021
Contributions:5 commits, 4 pushes, 1 branch in 2 months
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