Goal:Apply 10+ years of experience in Big Data and AI projects, including regression, clustering, object detection, image recognition, NLP and others, to turn Big Data into data asset and actionable intelligence, be a key member in the engineering team to innovate, release and grow software products that enable the success of the enterprise.Experience: Lead inventor of the Log-Structured Merge (LSM-) Tree (https://en.wikipedia.org/wiki/Log-structured_merge-tree) which is the standard data management algorithm for Big Data/AI systems. LSM-Tree is adopted by the Big Data management systems of Google, Facebook, Twitter, Microsoft, Oracle, Hadoop, Cassandra, MongoDB and others. Designed, implemented and deployed a Cloud-based Machine Learning platform for a group of 15 hospitals to test and develop Neural Network models for clinical, public health and hospital management research, able to adopt existing CNN models (AlexNet, LeNet-5, GooLeNet, FaceNet, etc.) in TensorFlow, Keras, Pandas and other ML open source libraries for data analysis, running in Docker and HTCondor. 10+ years of hands-on experience in software architecture, design and implementation using Agile Development and SCRUM methods. Work with global teams to innovate, design and implement software products. Released six commercial software products in JAVA, J2EE, Ajax, Python, C++, SOA, SQL, Lucene and Web Services.Specialties: Deep NN Models, software architecture, cloud-computing, innovation of technology, distributive computing.Technologies:TensorFlow, Keras, Java, JavaScript, JSP, AJAX, C, C++, CSS, XML, UML, HTML, J2EE, JDBC, SOAP, JSON, REST, Android StudioMachine Learning, Deep Learning, Deep Convolution Model, Object Detection, Image Recognition, NLPOracle, MySQL, SQL Server, NoSQL, Hadoop, Docker, LAMP, Agile MethodologyWindows, Linux, Solaris, Unix