Experience: 2+ years research, development and optimization experience on Hadoop, Distributed platform and Parallel algorithm.

Senior Software Engineer, Data science @ From July 2015 to Present (6 months) Senior Software Engineer, Data pipeline team @ TECHNOLOGIES: Hadoop, Java and Maven. RESPONSIBILITIES: Implemented and optimized Hadoop programs which process billions of impressions per day. From November 2011 to July 2015 (3 years 9 months) Software Development Engineer @ TECHNOLOGIES: C#, Struts2, Hibernate, Spring, AJAX, JavaScript, MySQL, JBoss, Ant PROJECTS: Developed Integrated Medical data system (CaIntegrator, NBIA, CaArray) (sponsored by IBM) From May 2011 to November 2011 (7 months) Research Assistant @ TECHNOLOGIES: Hadoop, MapReduce, Mahout (Machine Learning), X10, Distributed system, parallel programming, Load balance, Cluster computer PROJECTS: MapReduce in X10 (sponsored by IBM and published the paper) - Implemented a distributed MapReduce runtime system through X10, a parallel software development kit from IBM for distributed system, which supports intra-processor and inter-processor communication on the 8 cores×4 blades cluster computer with Linux system[2]. - Designed a novel distributed MapReduce system and its partition algorithm for balancing the load of the Reduce function on the cluster computer, of which the performance have been improved by 2× compared to Hadoop [1]. Observing the gulf oil spill through Flickr - Extended the original InputFormat Class of Hadoop to extract geo information from a 2.7GB XML image metadata file on a cluster computer consisting of 2 cores×4 blades, which got up to 8× performance of data processing than single-core computer. - Utilized Mahout to cluster the massive geo information data through the Hadoop system on the cluster computer. - Processed large scale data through Hadoop streaming and Python. - Set up and maintained 2 Hadoop clusters consisting of 20+ computers. Modifying the source code of Hadoop - Analyzed the architecture of Hadoop, and optimized it with the methodology in my paper [1]. PUBLICATIONS [1] Congchong Liu and Shujia Zhou. Local and Global Optimization of MapReduce Program Model. The 7th IEEE 2011 World Congress on Services, July 2011, Washington DC, USA http://www.computer.org/portal/web/csdl/doi/10.1109/SERVICES.2011.64 [2] Han Dong, Congchong Liu, and Shujia Zhou. MapReduce in X10. Frontiers on Multi-Core Computing 2nd Workshop, Sep. 2010, Baltimore, MD, USA From May 2010 to May 2011 (1 year 1 month) Web Designer @ TECHNOLOGIES: AJAX, JavaScript, HTML, CSS, Photoshop From September 2008 to June 2009 (10 months) Intern @ TECHNOLOGIES: Perl, SNMP From September 2007 to November 2007 (3 months)

master, Computer Science (Distributed system, parallel computing, large scale system, machine learning) @ University of Maryland Baltimore County From 2009 to 2011 B.S., Computer Science @ Guangzhou University From 2004 to 2008 Congchong Liu is skilled in: Hadoop, Java, Distributed Algorithms, Parallel Algorithms, Python, Databases, Apache Pig, MapReduce, Distributed Systems, Algorithms, Linux, MySQL, JavaScript