
Dong Wu
PROFESSIONAL SUMMARY As a Lead Machine Learning Engineer to lead, guide and coordinate multiple ML core teams and lead... | San Francisco Bay Area, San Francisco Bay Area, United States
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Dong Wu’s Location San Francisco Bay Area, San Francisco Bay Area, United States
Dong Wu’s Expertise PROFESSIONAL SUMMARY As a Lead Machine Learning Engineer to lead, guide and coordinate multiple ML core teams and lead the development of a Full Stack Machine Learning/AI system (including data analysis, ML core design, UI design and the deployment) in the application of software product development, customer solution and hardware systems. SKILLS • Machine learning and Algorithm development, familiar with Linear/Logistic Regress, SVM, Recommendation System, Anomaly Detection System and Deep Learning (CNN, RNN, LSTM, Attention etc.) in the imaging classification and natural language process application • Data Collection and analysis, feature design and extraction (Splunk and ELK Stack). • Big data analysis: Flink, Spark (SparkML, PySpark), Hadoop. • Machine learning model design, error analysis and optimization. • Machine learning/AI automation pipeline and platform design, MLOps and AIOps. • Imaging process and analysis (10+ years) • NLP (Bert, XLNet) pretrain model and its application for system log analysis. • Front end UI design: HTML, CSS, Boostrap and React, Flask. • Matlab (10+ years), Python (numpy, pandas, matplotlib and tensorflow, Keras, Pytorch etc) (7+ years) • Microservice, CI/CD (Kubernetes, Jenkins etc) • Kubeflow a machine learning toolkit for Kubernetes. • Labview and Matlab (5+ years) for hardware automation and control • Knowledgeable for the general optical and digital imaging system's working principles • Report writing and Presentation skills • System administrator and project management • Rich experience in general electrical tools and instruments for a physics lab test (15+ years) • Lab building and managing experience (10+ years)
Dong Wu’s Current Industry Vmware
Dong
Wu’s Prior Industry
Duke University
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University Of North Carolina At Chapel Hill
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Sandia National Laboratories
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Applied Materials
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Sap Successfactors
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Xerox
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Vmware
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Work Experience

Vmware
Lead Machine Learning Engineer
Tue Feb 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time) — Present
Xerox
Lead Machine Learning Engineer, AI
Sat May 01 2021 00:00:00 GMT+0000 (Coordinated Universal Time) — Tue Mar 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time)
Sap Successfactors
Development Architect
Wed Jan 01 2020 00:00:00 GMT+0000 (Coordinated Universal Time) — Sat May 01 2021 00:00:00 GMT+0000 (Coordinated Universal Time)
Applied Materials
System Engineering (Feasibilty and Architecture design and setup)
Thu Feb 01 2018 00:00:00 GMT+0000 (Coordinated Universal Time) — Wed Jan 01 2020 00:00:00 GMT+0000 (Coordinated Universal Time)
Applied Materials
Physicist
Wed Oct 01 2014 00:00:00 GMT+0000 (Coordinated Universal Time) — Wed Jan 01 2020 00:00:00 GMT+0000 (Coordinated Universal Time)
Sandia National Laboratories
Researcher
Sat Sep 01 2012 00:00:00 GMT+0000 (Coordinated Universal Time) — Mon Sep 01 2014 00:00:00 GMT+0000 (Coordinated Universal Time)
University Of North Carolina At Chapel Hill
Postdoc
Wed Sep 01 2010 00:00:00 GMT+0000 (Coordinated Universal Time) — Sat Sep 01 2012 00:00:00 GMT+0000 (Coordinated Universal Time)
Duke University
Postdoc
Sat Aug 01 2009 00:00:00 GMT+0000 (Coordinated Universal Time) — Thu Jul 01 2010 00:00:00 GMT+0000 (Coordinated Universal Time)