* 9+ years of research and industrial experience in computer vision, machine learning, signal processing, sensor fusion, and their applications. * Published over 15 papers in top-tier conferences including MobiSys, Ubicomp, IPSN, SIGCOMM, etc. * 6 years of industrial experiences at Google, Fitbit, Nokia Research Center, and Qualcomm. * 6 years of industrial project collaborations with Google, Intel, and Nokia. * Extensive experience in big data analytics (using Google/Hadoop MapReduce framework). * Strong programming skills in C++, Java, Scala, and MATLAB. * Expertise in classification/clustering algorithms, time-domain and frequency-domain signal analytics, pattern recognition, and adaptive filtering. * Experience in mobile application development. * Research experience in machine learning, audio/image/multimodal signal processing, human-computer interactions, 3D point cloud perception, gesture recognition, indoor positioning, and computer vision. * Highly self-motivated. Proven ability in independent research, teamwork, and efficient project development. * Best Presentation and Best Demo awards winner.

Software Engineer in Deep Learning-based Computer Vision @ - Work in Google's machine perception research team. - Focus on large-scale visual content learning and understanding, including videos and images. From September 2014 to Present (1 year 4 months) Software Engineer, Google [x], Self-driving car @ Designed and implemented human gesture recognition algorithms and pipelines using 3D point clouds. From 2014 to 2015 (1 year) Ph.D. Researcher @ Research area: Machine learning and audio/image/multimodal signal processing for context-aware mobile and ubiquitous computing, human activity recognition, human-computer interactions, and indoor positioning/location recognition. From September 2009 to August 2014 (5 years) Greater Pittsburgh AreaResearch Intern @ Designed algorithms using machine learning and signal processing for the next generation of Fitbit's products. From May 2013 to August 2013 (4 months) Research Intern @ Nokia Research Center - Designed and implemented a novel human-computer interaction technique. - Developed a Windows Phone prototype application for device interactions. From May 2012 to August 2012 (4 months) Research Intern @ Designed and implemented a SLAM (Simultaneous localization and mapping)-based indoor navigation and localization system using machine learning and signal processing techniques. From May 2010 to August 2010 (4 months)

Ph.D., Electrical and Computer Engineering, 3.86/4.0 @ Carnegie Mellon University From 2009 to 2013 Master of Science (M.S.), Signal & Information Processing, 3.9/4.0 (overall), 4.0/4.0 (major) @ Beijing University of Post and Telecommunications From 2006 to 2009 Bachelor of Engineering (B.E.), Mechanics & Automation, 89/100, Rank: 1st/160 @ Beijing University of Post and Telecommunications From 2002 to 2006 Zheng Sun is skilled in: MapReduce, Machine Learning, Computer Vision, OpenCV, Audio Processing, Algorithms, Python, Distributed Systems, Data Mining, Software Engineering, Java, C++, Android, C#, Cloud Computing