• Designed a scalable software architecture for the computer vision pipeline that locates weldable seams in 3D.

• Profiled code, analyze the result to look for slow-performing code, and then improve it.

• Performed refactoring on existing codebase to improve testability, readability, reusability, etc.

• Set up and maintain the continuous integration pipeline to improve the quality of the codebase.

• Automated various processes such as data saving and launching software with Bash scripts and SystemD

• Created a software plugin to allow the robot to perform motion planning offline on weldable seams of interest.

• Being the main ROS programer for a mobile robot used for vehicle testing. The ROS nodes perform a variety of functionalities including a state machine, path planning algorithm, motor control via CANopen, GUI communication via Websocket, differential drive mechanism, and obtaining sensor information from a microcontroller.

• Being the main GUI programer for the mobile robot using Typescript and React.

• Evaluated, tested, and selected various electrical components.

• Trained and deployed a neural network (Single Shot Detector) to detect off-road vehicles and pedestrians. Carefully selected the training dataset and applied data augmentation to diversity the images.

• Set up automation lines to assemble consumer products.

• Implemented automation tasks in C# such as pick-and-place, screwing operation, coordination b/w machines, etc.

• Implemented VisionPro programs for feature detection and calibration.

• Performed repeatability and accuracy studies on the automation machines

• Design and test metallic seals and other subsea equipment

• Perform Finite Element Analysis (FEA), stress calculations, and tolerance stack-up

• Select materials and coatings that ensure the performance and safety of products

• Use CAD software (Inventor) to create models and drawings with GD&T

• Heavily involved in purchasing, manufacturing, inspection, and testing operation throughout projects