ambarella > ambarella Employee Directory > Ray Fang
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Ray Fang
Staff Software Engineer
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Location: San Francisco Bay AreaApprox. Years of Experience: 13
Ray Fang's Current Workplace
Ambarella Inc
Company Size
301-1000
Amount Raised
$38.5M
Ambarella (Nasdaq: AMBA) is a leading developer of visual AI products. Our technologies enable a wide variety of human and computer vision applications, including video security, advanced driver assistance systems (ADAS), electronic mirror, drive recorder, driver/cabin monitoring, autonomous driving, and robotic applications. Ambarella’s low-power system on chips (SoCs) offer high-resolution video compression, advanced image processing, and powerful deep neural network processing to enable intelligent cameras to extract valuable data from high-resolution video streams. For more information, please visit www.ambarella.com
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Notable Investors
Matrix Partners, Benchmark, Walden International, Corner Ventures, WS Investments
Video
Privacy
Security
Software
Hardware
Broadcasting
Semiconductor
Chemical Engineering
Business Intelligence
Media and Entertainment
Experience
Ambarella Inc
May 2016 - Present
Staff Software Engineer
Mar 2020 - Present
4 yrs 5 mos
Senior Software Engineer
May 2016 - Mar 2020
3 yrs 11 mos
• Responsible for coordinating the global data collection life cycle, which includes data collection fleet management, data post-processing, and data annotation. Support Taiwan office to grow annotation contractors from zero to 100+. • Manage the database from zero to 2 million annotated video sequences to train the Ambarella proprietary CNN network “AmbaNet” range from 2D/3D object detection, instance segmentation and human skeleton keypoints detection • Established remote annotation center software framework and improved the annotation speed and accuracy constantly. • Designed and arranged IT infrastructure to optimize storage organization and processing speed by using Nginx file server • Designed and Implemented full-stack training image database using MEAN stack • Designed and implemented deep learning algorithm benchmark and regression suit to identify corner cases systematically to reinforce deep learning algorithm. The regression was run directly with Ambarella CV22/CV2 development hardware.
Research Assistant
Clemson University
May 2015 - Dec 2015
8 mos
-Developed a virtualized Intrusion Detection Systems in SDN network using ClickOS and Xen -Analyzed and tested open source IDS such as snort and bro -Improved detection accuracy by dynamically creating IDS instances based on NFV concept.
Algorithm Department Internship
Ambarella Inc
Feb 2011 - Sep 2012
1 yr 8 mos
-Ported Skype video conference call application onto Ambarella TV box running Android 3.0 using Skype SDK -Redesigned and implemented all of the user interface to be suitable for the Andriod TV box
Website Administrator
Chang Gung University
Jun 2009 - May 2011
2 yrs
-Developed and managed new webpages for Chang Gung University official website -Redesigned Student Affairs Office website into an organized web based management system -Drove continual improvement to system architecture by refactoring old legacy code.
Education
  • 2014 - 2015
    Clemson UniversityMaster’s Degree, Computer Science
  • 2007 - 2011
    Chang Gung UniversityBachelor of Science (B.S.), Management Information Systems, General