Software Engineer @ Coming soon..... From October 2015 to Present (3 months) San Francisco Bay AreaSoftware Engineer @ Large Scale Ads Click-Through Rate (CTR) & Install Rate (IR) Estimation Through Spark. -- I contributed 50% of production model codes. The built models are applied to 40B daily bidding events. -- I contributed 50% of the internal model training & performance monitoring platform codes. From January 2015 to October 2015 (10 months) San Francisco Bay AreaDouble-Major Master Student in Computer Science @ － I took a project oriented master which focused on Deep Learning for Image Classification. －The purpose of this project is to design some visualization toolkits that help researchers more efficiently build some deep neural network for any specific Image Classification task. The built framework is easily adapted for other related machine vision project, for instance, object detections. I use Caffe and Cuda-convnet as the backend deep learning training tools, then I extract some intermediate deep layer learning outputs, visualize them through Graphviz and build some frontend web pages through Flask. From December 2012 to March 2015 (2 years 4 months) Sacramento, California AreaData Warehouse Intern @ – I am the major architect involving Shutterfly Big Data Analytics POC Project – I am responsible setting up and testing most current open source big data platforms (Hadoop, Spark, Cassandra, Hive, HBase, Storm) in a six-node development Linux cluster. Giving five months’ user image uploading metadata (7.1 TB and 1.7 billion pics), I design the ETL framework to build up the users’ image style profile. – Every week, I report my progress on development cluster and propose better alternatives (Hadoop vs Spark, Cascading and Storm, Cassandra vs HBase, MySQL and Oracle) for improvement. I wrote MR job using Hadoop (Java), Spark(Scala), or Storm (Java). I evaluated the performances when coupling Hadoop with MySQL, Cassandra, and Spark with Cassandra. Although it’s a team discussion product, I drafted the big data analytics ETL pipeline. From June 2014 to August 2014 (3 months) PHD Student in Transportation @ From January 2009 to January 2014 (5 years 1 month) Sacramento, California AreaMaster Student @ From January 2007 to January 2009 (2 years 1 month) Charlotte, North Carolina Area

Master of Engineering (M.Eng.), Computer Science, 3.9 / 4.0 @ University of California, Davis From 2012 to 2014 Doctor of Philosophy (Ph.D.), Transportation/Mobility Management, 3.7 / 4.0 @ University of California, Davis From 2009 to 2014 Master of Engineering (M.Eng.), Geographic Information Science and Cartography, 3.8 / 4.0 @ University of North Carolina at Charlotte From 2007 to 2009 Bachelor of Science (BS), Geographic Information Science and Cartography, 3.7 / 4.0 @ Nanjing University From 2002 to 2006 Shikai Tang is skilled in: Matlab, R, Python, Mathematical Modeling, LaTeX, Algorithms, C++, Computer Science, MySQL, Java, Linux, Data Analysis, Spark, Scala, Django, PHP, Hadoop, Data Mining, Machine Learning