CV

Education

• M.S. in Robotics System Development, Carnegie Mellon University, School of Computer Science, 2021
• B.S. in Electrical Engineering, National Taiwan University, 2019

Skills

• Programming Languages: Python, ROS, C/C++, Verilog, LaTex
• Tools: OpenCV, MATLAB, Pytorch, Tensorflow, Labview
• Computing Environments: Linux, Windows, MacOS, Arduino, Raspberry Pi

Work experience

• Jul 2021-Present: Computer Vision Engineer
  • NVIDIA, Redmond, WA
  • Returned as a full-time employee
• May-Aug 2020: Computer Vision Intern
  • NVIDIA, Redmond, WA
  • Working under the mapping team of Autonomous Vehicle Department
• Feb-Jun 2019: Machine Learning Intern
  • Cardinal Blue Software, Taipei, Taiwan
  • Trained a semantic segmentation model with Mobilenetv2 structure that cut out people from an image and deployed it to the PicCollage mobile app.
  • Achieved 83% IOU with model size <10mb, 6% better than the official released version.
• Jul-Aug 2018: Summer Intern
  • Coretronic Corporation, Hsinchu, Taiwan
  • Constructed independently a monocular visual odometry system aimed for drones.
  • Implemented ORB feature extraction with OpenCV and local pose optimization with G2O in C++.

Selected Projects

• AutoValet - Autonomous Parking System in Indoor Environment, Carnegie Mellon University, Sep 2019-Now
  • Made the robot Husky perform SLAM in an unknown indoor parking garage and combine geometrically constrained exploration with navigation to find an empty parking spot, and park itself accurately.
  • Contributed in building Gazebo simulation, visual lane detection, parking algorithms, robot exploration, and SLAM.
• Visual Search with Semantic Segmentation on ORB SLAM, National Taiwan University, Sep 2018-Jun 2019
  • Combined ORB SLAM and semantic segmentation on each frame into a real-time system that builds semantic point cloud
  • Designed an effective algorithm to localize target objects in 3D maps.
• Real-time 3D Reconstruction Using Visual SLAM, National Taiwan University, Jan-Jun 2018
  • Used Zed stereo camera and Kinect 2 RGB-D camera to implement mapping and localization.
  • Developed Real-Time Appearance-Based Mapping (RTAB-Map) with ROS.
• Robots Gain Social Intelligence Through Reinforcement Learning, National Taiwan University, Jun 2018
  • Trained the humanoid robot Pepper to learn basic social skills through Proximal Policy Optimization in deep rein- forcement learning, including understanding in what situation it should greet, say bye-bye, shake hands, or simply do nothing.
• Service Robot for Deaf and Speech-impaired People, National Taiwan University, Oct-Dec 2017
  • Trained a convolutional neuron network to recognize sign language videos.
  • Implemented the system to a service humanoid robot to assist deaf and speech-impaired people.

Leadership & Awards

• STMicroelectronics Sponsor Prize, 2019 MakeNTU LAzITech Hackathon, Mar 2019
• Academic Coordinator, Electrical Engineering Student Association, National Taiwan University, Sep 2017-Jun 2018
• General Coordinator, 2018 MakeNTU AInsight Hackathon, Mar 2018
  • Led a team over 70 members to organize this 5-day hackathon about AI for undergraduates all over Taiwan.
  • Touched base with Ministry of Education, Ministry of Science and Technology, Industrial Technology Research Insti- tute, and plenty of companies for partnership and sponsorship.
  • Check our website here and Facebook fanpage here.
• Bronze Medal & HUNSTEM Special Prize, 2014 International Sustainable World Olympaid - I-SWEEEP, May 2014