Jiao Wang
Staff Ml Engineer @Intel
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WORK HISTORY
Staff Ml Engineer @Intel
Santa Clara, CA, US
Design, develop, deploy and test end-to-end AI pipeline framework on Big Data-BigDL & Analytics Zoo development• Orca Data(distributed data processing)XShards on Ray design and implement, performance testSparkXShards data operation in parallel design, implementation and test• Orca Learn(distributed ML)TFEstimator design and implement support for Spark dataframe, rdd, xshards, tf data source with tf graph and keras models.TF2Estimator on Pyspark backend design and implement with dataframe/rdd/tf dataset source.• Friesian(Recommendation framework)Friesian Serving architecture design and prototype verificationFeatureTable development for common feature transformationsDIEN and WND training with FeatureTable on big dataset• Spark pipeline integrationDLEstimator/DLClassifier, BigDL integration with Spark pipeline(Spark MLlib, Spark streaming, etc.)• Image feature engineer and deep learningDesign and Implement image frame APIs(image load, image transformation), implement and test distributed image model training on Spark. Privacy Preserving Machine Learning (PPML) solutionDesign and develop PPML Big Data solution on Azure K8s integration with Azure Services-Customer Case Development• Mastercard:Create pipeline of large-scale data preprocessing, NCF/Wide-n-Deep BigDL/Tensorflow model distributed train/tune/inference for offer recommendation on Spark in CDHTroubleshooting and feature enhancement distributed DL training/deployment in production Troubleshooting and feature enhancement of AutoXGBoost/AutoML training in production.• Burger King: Develop drive-thru recommendation system• MLSListings:Design and implement image similarity based house recommendation system- Platform DeploymentCloudera DCSW, Microsoft HD Insight, Qubole, GigaSpace, IBM ICPD-CSP integrationAzure: DL training on Databricks, Synapse; PPML on Azure Kubernetes integration solution development
EDUCATION
University of Electronic Science and Technology of China
Master, Computer Science
University of Electronic Science and Technology of China
Bachelor, Computer Science
University of San Francisco
Mater of Computer Science
SKILLS
ABOUT JIAO WANG
I am is a staff AI Framework Engineer working in the area of big data analytics. I am a key contributor in developing and optimizing distributed AI framework on Big Data system, and developed and deployed varies of real-world end-to-end AI solutions on big data platforms.Talks:• “Building Deep Learning Powered Big Data\"(https://databricks.com/session/building-deep-learning-powered-big-data), Boston, Spark Summit 2017• \"Using Crowdsourced Images to Create Image Recognition Models with Analytics Zoo using BigDL\"(https://databricks.com/session/using-crowdsourced-images-to-create-image-recognition-models-with-bigdl), San Francisco, Spark Summit 2018• \"Automatic 3D MRI knee damage classification with 3D CNN using BigDL on Spark\"(https://conferences.oreilly.com/strata/strata-ca-2018/public/schedule/detail/64023), Strata Data Conference, San Jose 2018• “Analytics Zoo: Distributed TensorFlow and Keras on Apache Spark”( https://conferences.oreilly.com/artificial-intelligence/ai-ca-2019/public/schedule/detail/77069.html?msclkid=6ba822fcd00711ec8b3c82e52474c510), Oreily AI Conference, San Jose, 2019• “BigDL: A Distributed Deep Learning Framework for Big Data”, ACM Symposium on Cloud Computing, Chaminade, CA, 2019
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