I have built systems for machine learning or computer vision applications at different scales and architectures from Amazon EC2, Hadoop, HPC, GPU, to embedded systems. I've worked on the full lifecycle of models and algorithms from idea, research, prototyping, evaluation to deployment. Specialties: Machine learning, Data mining, Computer vision, Pattern recognition, Signal processing, Cloud computing Programming : Python, Scala, C++, Java Data Analysis: Python's scientific stack, R, MATLAB Computer Vision: OpenCV Data Visualization: R, JavaScript (D3.js, Processing.js) Big Data: AWS (ec2, s3, emr), Hadoop (Mahout), Spark HPC: CUDA, MPI

Senior Data Scientist @ As part of the architecture team, I am the technical lead on machine learning and computer vision TV projects for recommendation and advertising. I am involved on the full algorithm lifecycle from research to production. I tend to focus on the earlier stages of research, implementing prototypes, and defining production feature requirements. (*group formerly Intel Media) From July 2013 to Present (2 years 4 months) San Francisco Bay AreaResearch Analyst (Rotation Engineer Program) @ Worked on the executive office for Intel's Chief of Product for keynote productions, executive briefings, white paper research and project management. From July 2012 to July 2013 (1 year 1 month) Santa ClaraResearch Engineer (Rotation Engineer Program) @ Explored frameworks for large scale machine learning and computer vision applications at the Cluster Computing Architecture team in Intel Labs From January 2012 to July 2012 (7 months) Hillsboro, ORSoftware Engineer (Rotation Engineer Program) @ Strategic planning and prototyping of computer vision solutions for Intel® Atom™ systems at the Intelligent Systems Group From July 2011 to January 2012 (7 months) Chandler, AZResearch Assistant @ Researched Soft Biometrics Intelligence (identification of attributes such as age, gender, ethnicity, facial hair, glasses fused with facial recognition to improve accuracy) 3 publications and pending patent From January 2010 to May 2011 (1 year 5 months) Greater Pittsburgh AreaEngineering Intern @ Improved power qualification methods by creating power estimation models over billion samples of data From May 2010 to August 2010 (4 months) San Francisco Bay AreaSoftware Developer @ Created applications and exercises for educational robotics through the Finch Robot and RSS feeds From September 2008 to May 2009 (9 months) Greater Pittsburgh Area

B.S and M.S, Electrical and Computer Engineering @ Carnegie Mellon University S. Hu is skilled in: Machine Learning, Computer Vision, Image Processing, Pattern Recognition, Python, Matlab, Java, Data Mining, Research, Cloud Computing, OpenCV, Biometrics, Program Management, Technical Consultation, C/C++, Computer Science, Embedded Systems, Artificial Intelligence, High Performance..., Programming, CUDA, Robotics, C++, Algorithms, Software Engineering