Data-driven Busienss Data Scientist on the Bluemix Team @ Leading IBM SaaS business goal oriented user centric web analytics data-driven Business Improvement Analytics using data-driven analysis experience during a PhD program with big neuroscience data, focusing on user experience improvement, products improvements, marketing programs ROI improvements and sales enablement. From October 2015 to Present (3 months) IBM Cloud Automated Modular Management Development - Staff Software Engineer @ IBM Cloud Automated Modular Management (AMM) is responsible for the production of IBM Cloud Services, including managed services and high value services for customers of IBM's cloud offerings. • Have managed Cloudsoft AMP/Brooklyn (for infrastructure orchestration) and Nessus with CVSS (for infrastructure security/vulnerability). • Designed Microservices-architecture based core proxy application for handling Marketplace (powered by AppDirect), Business Support Services (BSS) component, and infrastructure provisioning orchestration component (powered by Cloudsoft). • Have been dockerizing OpenLDAP (using Docker tool). • Developed and maintained a rich DevOps dashboard for IBM Cloud Managed Services using Python, Django, Dgrid and MySQL. • Developed a proxy controller to handle the order/cancel flow between IBM Cloud marketplace (AppDirect) and SoftLayer VM provisioning orchestration tool (Cloudsoft AMP/Brooklyn) using their REST APIs, required an automation flow from the customer order to provision/install services (Security and Compliance, Patching, and Monitoring). • Created an automation code for OpenLDAP for the AMP/Brooklyn and other service user management. • Created an automation code for the Nessus tool for checking managed services vulnerability including scan-scheduling (Django/Python/Swagger/Cron). From March 2014 to Present (1 year 10 months) Austin, Texas AreaPh.D. Program @ • Mapped submicrometer-resolution whole mouse brain atlas to the Waxholm space: fast Fourier transform-based denoising and landmark-based registration on huge biomedical images (about 2TB). • Developed a scalable, incremental learning algorithm with MapReduce parallelization for cell detection in high-resolution 3D microscopy data (used Amazon EC2, Apache Whirr, and Apache Hadoop). • Customized a vector graphics converter application and developed a parser of Scalable Vector Graphics (SVG) formats to analyze and reconstruct huge biomedical image data. • Developed a web-based mouse brain atlas using Google Maps APIs and OpenLayers . • Developed an automatic cell counting algorithm using machine learning (Principal Components Analysis based Artificial Neural Network). • Developed an automatic vector-based vessel tracing algorithm. From January 2010 to December 2013 (4 years) Internship @ • Developed bio-medical frameworks with Python to analyze huge biomedical image data. • Surveyed quantitative studies of neurons in the rat cerebral cortex using machine learning. From June 2012 to August 2012 (3 months) San Francisco Bay AreaJunior Research Assistant @ • Componentized Hypermedia information coding Expert Group MHEG-5 module (C, C++, Lattix LDM, Rational® ClearCase). • Componentized Multimedia Home Platform MHP module (C, Java, Lattix LDM). • Componentized Digital Video Recorder DVR module (C, Lattix LDM, McCabe IQ). From December 2005 to August 2007 (1 year 9 months) Software Developer @ • Developed wireless transaction applications using Motorola's iDEN (C, PPP, VxWorks). • Developed transaction applications for Point-of-Sale devices (C, OpenSSL, VxWorks). From June 2005 to November 2005 (6 months) Software Developer @ • Customized a Linux wireless driver and a SPI serial EEPROM driver. • Optimized the QT Graphic library for an embedded Linux device. • Developed a management application for remote and multi consoles (C++, TCP/IP, Microsoft SQL). • Developed VxWorks boot loaders and ATM transaction applications (C, CGI, OpenSSL, VxWorks). • Developed UART drivers and Simple Network Management Protocol (SNMP) clients on Embedded Linux (C, Cross Compiler for Embedded Linux, MIB). From February 2002 to April 2005 (3 years 3 months)

Ph.D. Candidate, Computer Science @ Texas A&M University From 2010 to 2014 The Ohio State University From 2009 to 2009 Master's Degree, Computer Science @ State University of New York at Stony Brook From 2007 to 2008 Bachelor's Degree, Computer Science @ Yonsei University From 1998 to 2002 Chul Sung is skilled in: Computer Science, Algorithms, Machine Learning, Python, Matlab, C++, C, LaTeX, Java, Data Mining, Programming, Linux, Distributed Systems, Perl, Software Engineering