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Course Projects Resume Example

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COURSE PROJECTS
Professional Summary
Solid mathematical foundation and programming skills. Quickly master new software packages and hardware technologies. Have research and working experience on deep learning & artificial intelligence.
Education
Current
Bachelor of Science: Eletrical Engineering
Stanford University - Stanford, CA
  • 3.8 GPA
2015
Bachelor of Science: Physics
Peking University - Beijing
  •  Recipient of Undergraduate Reasearch Award(2015), Sumitomo Scholarship(2013), Weiming Scholarship(2013,2014), Social Work Award(2013)
Work History
09/2016 to 12/2016
Course ProjectsStanford – Stanford, CA
  • CS221 Artificial Intelligence: Deep Q-learning/ Q-learning agent for a scrolling shooter game.(Highest Score Project) I realized a Deep Q-learning platform on caffe.
  • CS229 Machine Learning: Vehicle detection and model recognition. Used Faster-RCNN for car detection and feature extraction. Applied KNN for model recognition.
03/2016 to 08/2016
R&D Engineer(intern)SenseTime – Beijing
  • Built a training system for Xiaomi on-line face recognition service.To protect users' information, all the images for training are encrypted. This system decrypted images, cropped out faces and trained the network.
  • Research on Faster-RCNN and SSD for self-driving car(traffic signs and small objects detection). Improved the Mean Average Precision by about 20%.
09/2015 to 02/2016
Research assistant, Advosor Prof. Yizhou WangLab of Video Technology, School of EECS – Peking University, Beijing, China
  • Directly learned an end-to-end deep deconvolution neural network between low/hight-resolution images to achieve image Super-Resolution.(state-of-art)
  • Used fast R-CNN to achieve cars detection in aerial and satellite images.
  • Build a Bidirectional Recurrent Convolution Network for Multi-Frame Super-Resolution.
06/2014 to 08/2014
Research Assistant, Advisor Pro. Constance Chang-hasnainDepartment of EECS, University of California, Berkeley – Berkeley, CA
  • Simulation and analyzed the mode in the Nano-laser grown on silicon substrate
  • Designed the cavity to achieve high Q factor and high coupling efficiency to the output waveguide
Skills
  • C++, C, Java, Python, Matlab, JavaScript
  • Caffe, Tensorflow, OpenCV, Shell scripting
  • Research Capacity: 4 publications (2 first authored) in EE field

Machine Learning/ Deep Learning

Computer Vision/ Natural language Processing

Solid mathematical background

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Resume Overview

Companies Worked For:

  • Stanford
  • SenseTime
  • Lab of Video Technology, School of EECS
  • Department of EECS, University of California, Berkeley

School Attended

  • Stanford University
  • Peking University

Job Titles Held:

  • Course Projects
  • R&D Engineer(intern)
  • Research assistant, Advosor Prof. Yizhou Wang
  • Research Assistant, Advisor Pro. Constance Chang-hasnain

Degrees

  • Bachelor of Science : Eletrical Engineering
    Bachelor of Science : Physics

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