- Lead Software Engineer in Machine Learning at Mattermark - Specialties: Data Mining, Machine Learning, Big Data Analysis, Database, Distributed Systems, Semantic Web, Ontology - Scalable Data Manipulation: Hadoop, Map/Reduce, Apache Pig, Hive - Languages: Java, C/C++, R, Python, SQL - Web Dev: JSP, PHP, HTML, CSS, Javascript, GWT

Lead Software Engineer in Machine Learning @ http://mattermark.com/ Mattermark is driven to uncover all the information about world's business information. We are using machine learning and big data techniques to collect, organize and analyze these data. As a Lead Software Engineer in Machine Learning at Mattermark, I’m building tools to collect new data signal and find insightful derived data using machine learning and statistical techniques. Also I’m building and maintaining the scalable infrastructure for collecting and serving these data. From February 2015 to Present (11 months) Senior Software Engineer / Data Scientist @ #Growth Relevance Team #People You May Know: Link prediction on social graph - Refine the predictive classification algorithm by adding new features, re-training, validation and A/B testing. - Analysis of user log data. - Maintain the scalability of Hadoop workflow. - Applied Multi-Objective Optimization. #Suggested Endorsements: Making suggestions of who/what skill to endorse. - Created the Machine Learning Model and Hadoop workflow. - Supervised Learning, Multi Objective Optimization, Feature Engineering. From April 2013 to February 2015 (1 year 11 months) Software Engineer @ #Applied Data Team. http://data.linkedin.com/ #Have been worked on various Big Data products: - People You May Know: Link prediction in large sized graph. Machine learning model & Hadoop workflow performance tuning - History Service: Scalable OLAP framework - Skills: Skill based personalized news recommendation. (Classification, Collaborative Filtering) From July 2011 to March 2013 (1 year 9 months) Graduate Teaching Assistant @ Teaching Assistant for CS341(Spring, 2010 - 2011): "Project in Mining Massive Data Sets", Prof. Jure Leskovec, Prof. Anand Rajaraman, and Prof. Jeff Ullman Teaching Assistant for CS 246(Winter, 2010 - 2011): "Mining Massive Data Set", Prof. Jure Leskovec From January 2011 to June 2011 (6 months) Software Engineering Intern @ #Display Ads Publisher Platform team. - Adding a new JavaScript like scriptable UI feature. - Went thorough product life cycle: ­ materializing idea, writing a PRD, writing a design doc and actual implementation From June 2010 to September 2010 (4 months) Lecturer @ "Introduction to Computer Networking" - Teaching core concepts of computer network to senior students From March 2009 to June 2009 (4 months) Chief Programmer @ Built a scheduling program that produces the final output of the six-month long project Updated and modified the program actively based on rapidly changing client needs From January 2009 to February 2009 (2 months) Business Analyst @ Established BRM (Business Reference Model) project for Korean Government Built BPR/ISP for the Ministry of Government Administration and Home Affairs From June 2005 to August 2005 (3 months) Intern @ Implemented internal JSP web application for internal employee education From January 2005 to February 2005 (2 months)

M.S., Computer Science @ Stanford University From 2009 to 2011 B.S, Computer Science @ KAIST From 2002 to 2009 Evion Kim is skilled in: Machine Learning, Big Data, Hadoop, Data Science, Data Mining, Java, Python, MapReduce, Distributed Systems, C, Apache Pig, JavaScript, R, C++, Scalability