Software engineer and inventor with deep interest in machine learning, VR/AR, natural language processing, computer vision, reinforcement learning and robotics.
Master of Science - Computer Science and Systems
Bachelor of Science - Computer Science
Concentration in Intelligence and Theory
Bachelor of Science - Electrical Engineering
Languages
C/C++, Java, Python, C#, JavaScript, CSS, HTML, SQL, Swift, Dart, Objective-C
Tools & Frameworks
Visual Studio, Android Studio, Unity, Github, MySQL, Azure SQL, Firebase, Matlab, Xcode, Eagle CAD, Altium, Solidworks, Three.js, Cannon.js
Communication
English (Proficient), Chinese (Native)
AD/ADAS
• Perception and data infra team
AD/ADAS
• Worked on cutting-edge OTA algorithm development
• Ported core open source libraries to AUTOSAR stack running on QNX
AD/ADAS
• Setup simulation pipeline based on open source simulator, enabled verification of lane detection network and planning stacks
• Developed and maintained CUDA-based point cloud preprocessing package, reduced pipeline latency by more than 10 times
• Developed and maintained ROS2 driver package for Continental Radars and point cloud segmentation package for perception stack, enabled close-range obstacle detection (verified on recorded vehicle data)
• Developed multi-threaded ROS2 mission management package for urban autonomy demo, enabled visualization of high-level mission command and vehicle status
Telecommunication and Robotics
• Worked on factory robotics project, developed a YOLO-based ROS package for water bottle detection and motion planning of affordable robotic arms, achieved more than 60% success rate
Consumer Electronics
• Developed neural network based algorithms for the consumer electronic product with Pytorch in Python, deployed on ARM-based microcontroller with Tensorflow Lite, achieved more than 85% classification accuracy in breathing detection
Robotics and Automation | GTSR Lab
• Mechatronics and firmware development for GT-MAB 2.0
• Improved communication link between blimp and ground station, lowered latency by more than 150 times
• Helped on achieving 6DOF stabilization on a blimp
• Co-authored a paper that got best Student Paper Award for AIM2021 and co-invented two patents
Swing-Reducing Flight Control System for an Underactuated Indoor Miniature Autonomous Blimp AIM2021--Best Student Paper Award
Flight Control System for Miniature Aerial Robots
Highly Effective Motion Capture Marker for Small Aerial Robots
Robotics and Automation | GTSR Lab
• Refurbished and modified the OSV (omni-directional surface vehicle), by using Solidworks, and Mavlink in C++ and Python
• Integrated RTK (real-time kinematic) GPS, enabling centimeter-accuracy in localization and heading measurement
• Helped secure NSF funding for the project