SUMMARY
• Life cycle experience of software development on proprietary product by OOD, including algorithm development, implementing, integrating, testing, optimizing, and SDK development.
• 3 years development experience on commercialized products in real-time environment.
• Proficient with Core Java, J2EE, C, C++, MATLAB, PL/SQL, R, OpenCV, SAS, Assembler, PCB design, AutoCAD.
• 6 years research in object recognition and tracking, image segmentation, image/video de-noising and biometrics.
• Strong background in image/video processing, pattern recognition, computer vision and machine learning.
• 1 year experience in an Agile/Scrum environment to deliver high quality software with JIRA.
SKILLS & EXPERTISE
• Programming Language: Core Java(JDK 1.6), J2EE, C, C++, SQL, PL/SQL, JavaScript, JQuery, CSS3, AJAX, HTML, Spring 2.X/3.X, Hibernate 3.X, Struts 1.X/2.X, Unit testing(JUnit, QUnit), Matlab, R, Assembler Language
• Operating System: MS Window, Unix
• Software Tools: Visual C++ 2010 Express, Eclipse 3.7 Inidigo, Oracle, SQL*Plus, Tomcat 7.0, JBoss 5.0, MongoDB, Beyond Compare, Dropbox, KEEPVID, Freemake Video Converter, Protel PCB, AutoCAD, SVN
PROFESSIONAL EXPERIENCE
Software Engineer IMRSV, Manhattan, New York 07/2012- 07/2013
Project: AVA (Anonymous Video Analytics) platform "CARA"
The company’s CARA software uses cameras and face recognition technology to determine viewer characteristics like gender, age, distance, and time spent viewing the advertising in order to then serve up the advertising most relevant.
• Worked on AVA system development for the commercialized software product “CARA” in real-time environment.
• Worked on algorithm development, implementing, integrating, debugging, testing, optimization and SDK development in OOP C++ environment with OpenCV libraries and MATLAB.
• Developed face tracking and background segmentation algorithmon video, integrated into AVA manager, improved the performance, reduced the computational complexity, and compared to other competitors.
• Involved in development of backend business logic for person information reporting, OTS fail reporting, etc, with core Java, XML parser and Spring framework on the servers of Tomcat 7.0 and JBoss 5.0.
• Made white box testing on unit, integration, load and regression testing in Agile/Scrum development fromework.
Graduate Research Assistant High Assurance Systems Research Center, WVU 05/2009 - 05/2012
Project: “Quality-based Adaptive Recognition with Unsupervised Learning”
• Developed an adaptive recognition algorithm based on image quality for iris recognition in Matlab.
• Built an adaptive classifier using image qualities as weak features, using Neural Network. Applied unsupervised learning based on confidence in similarity distance of the related classifier outputs.
• Compared to non-adaptive methods, 12% - 15%performance improvement was achieved on iris data.
Project: “Evaluation of Quality-based Fu...
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