Recruiters: I am only interested in jobs in the greater Seattle areas. Please specify COMPANY NAME, LOCATION, and JOB DESCRIPTION when you contact me. Goal: Building END TO END machine learning systems to solve large scale real world problems Strength: machine learning and programming. I believe the COMBINATION of solid machine learning research background and strong programming skills can achieve great things. Specialties: MACHINE LEARNING, natural language processing, and artificial intelligence

Applied Researcher @ 1. Building end to end machine learning systems that bid on google for eBay products, including paid text ads (adwords) and paid product ads (PLA): An A/B testing showed that the ROI increased by 17% (meaning millions of dollars more profit per year). 2. Cutting edge bid adjustment for search engine marketing (SEM): ready to file patents; details will follow after that. From September 2013 to Present (2 years 4 months) Software Developer Engineer and Machine Learning Scientist @ Primary designer and developer of an end to end machine learning system that automatically classifies millions of products at Amazon.com to thousands of categories with high accuracy. Two patents have been filed (one on the classifier, another one on the automatic evaluation). From August 2010 to August 2013 (3 years 1 month) Greater Seattle AreaResearch Assistant @ Unsupervised learning; developed a highly complex model that requires Markov chain Monte Carlo for inference. Most importantly, it works! See my EMNLP'10 paper for more detail. From September 2005 to January 2011 (5 years 5 months) Software Engineering Intern @ Web scale text mining. Results are used by google translate. From May 2008 to September 2008 (5 months) Software Engineering Intern @ Web scale text mining. Results are used by google translate. Work has been published on ACL'08 From May 2007 to September 2007 (5 months) Software Engineering Intern @ Learnt a new programming language in a week, and built a recommendation system within a month, using that language. From May 2005 to September 2005 (5 months) Research Staff @ Research on natural language processing and machine learning. Work has been published on IJCAI'03, COLING'04 and IJCNLP'04 From October 2002 to July 2004 (1 year 10 months) Software Engineering Intern @ Natural language processing. Work leads to a publication on IJCAI'03. From December 2001 to July 2002 (8 months)

Ph.D, Computer Science @ University of Rochester From 2005 to 2011 M.S, Computer Science and Technology @ Peking UniversityB.S, Mathematics @ Nankai University Shaojun Zhao is skilled in: Machine Learning, Hadoop, Natural Language Processing