Sheng Guan
Applied Scientist Intern at Amazon
Beijing, United States
Summary
🤩
Rockstar🎓
Top SchoolSheng Guan is an applied scientist with six years of experience building and evaluating graph- and language-model driven systems for real-world data quality, robustness, and fairness problems. Currently an Applied Scientist Intern at Amazon, he applies LLMs to detect inconsistencies in product datasets and has a strong research track record with multiple ICDE, WSDM, IJCAI, KDD, VLDB and IEEE publications. His work spans adversarial active learning, few-shot error detection, robust GNNs, and fair subgraph summarization, often delivering double-digit improvements in accuracy or F1 over baselines. Proficient across Python, PyTorch/TensorFlow, Spark/Hadoop, Neo4j and cloud platforms, he blends production-minded engineering with rigorous academic methods from a PhD background. Notably, he designs systems that not only boost metrics but also surface human-interpretable query rationale to guide labeling and remediation.
6 years of coding experience
7 years of employment as a software developer
Hong Kong University of Science and Technology (HKUST)Doctor of Philosophy - PhD, 4.0/4.0, Doctor of Philosophy - PhD, 4.0/4.0 at Case Western Reserve UniversityMaster of Science - MS computer science, Multimedia Data Mining;Disaster Information Management;Multimedia Big Data, 3.86/4.0, Master of Science - MS computer science, Multimedia Data Mining;Disaster Information Management;Multimedia Big Data, 3.86/4.0 at Florida International UniversityBachelor of Engineering (B.Eng.), Information Technology, Bachelor of Engineering (B.Eng.), Information Technology at Shanghai Jiao Tong University
English, Chinese, Chinese
Github Skills (37)
timeseries-database10
monitoring10
connected10
time-series10
internet-of-things10
industrial10
bigtable10
financial-analysis10
iot10
timescaledb10
internet10
tdengine10
driver10
connection-pool10
sql10
Programming languages (4)
Github contributions (5)
taosdata/TDengine
Jul 2019 - Apr 2025
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
Contributions:2717 reviews, 7771 PRs, 10252 pushes in 5 years 9 months
carsconnectedfinancial-analysistime-seriesindustrial-iot
guanshengliang/TDengine
Jul 2019 - Aug 2022
Contributions:3 pushes, 1 comment, 4 issues in 3 years 2 months
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