Gang Fu
Principal Solution Architect at Amazon Web Services (AWS)
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolGang Fu is a Principal Solution Architect at AWS with 11 years of experience blending machine learning research, large-scale data engineering, and cloud-native architecture to solve complex healthcare and life-science problems. He brings deep hands-on expertise across the Hadoop/Spark ecosystem, time-series and tabular ML (RNNs, random forests, gradient boosting), and full-stack Python web stacks, coupled with strong SQL/NoSQL and DevOps fluency. His career bridges research labs (NCBI, academic bioinformatics) and industry (AWS, Microsoft, Comcast Labs), where he has built production pipelines for forecasting, fraud detection, semantic graph analytics, and high-volume RDF processing. Comfortable both leading cross-functional teams and writing core system code in C++, Java, Python and Scala, he routinely translates research prototypes into scalable cloud services. Based in Seattle, he uniquely combines a PhD-level grounding in medicinal chemistry with deep data-science and cloud engineering chops, enabling him to navigate domain-specific challenges in life sciences that many architects miss.
11 years of coding experience
15 years of employment as a software developer
M.S. Computer and Information Science, M.S. Computer and Information Science at University of MississippiM.S. Medicinal and Pharmaceutical Chemistry, M.S. Medicinal and Pharmaceutical Chemistry at Peking University
Github Skills (86)
amazon-chime-sdk10
react-android10
plotly9
api9
flask9
bioinformatics9
modeling9
jupyter9
finance9
amazon9
django8
rest8
sdk8
python8
no-javascript8
Programming languages (8)
Github contributions (5)
aws-samples/digital-pathology-on-aws
Mar 2021 - May 2023
Contributions:1 PR, 61 pushes in 2 years 1 month
Contributions:1 review, 5 commits, 3 PRs in 1 year 8 months
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