Ziming Dong is an application development engineer and second-year CS master's student at Arizona State University with a decade of practical experience and 2.5 years focused on machine learning, deep learning, and data engineering. He has applied ML and data-mining techniques in research at the Chinese Academy of Sciences and built backend systems at Zhejiang Lab before joining AliExpress CIS to work on logistics applications. Proficient in Python, TensorFlow/PyTorch, Spark, Postgres, and cloud platforms (AWS, GCP, IBM Cloud), he bridges research-grade models and production data pipelines. Notable past work includes achieving 98.82% test accuracy on a real-time news classification task using hybrid KNN/Bayesian and word2vec approaches. A quick learner and organized team player, Ziming combines hands-on coding, ETL/EDA expertise, and visualization skills to turn noisy data into operational insight. Based in Tempe, Arizona, he brings both academic rigor and industry delivery experience to ML-driven backend development.
10 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science, 3.70/4.00 GPA, Master's degree, Computer Science, 3.70/4.00 GPA at Arizona State University
Bachelor's degree, Computer Science, 3.24 GPA, Bachelor's degree, Computer Science, 3.24 GPA at University of Vermont
Programmatic interface to Synapse services for Python
Contributions:620 pushes, 130 branches, 4 tags in 4 years 1 month
programmaticpythonprogrammatic-interfacesynapse
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