• Assisted in training and evaluation of several machine learning models for object segmentation, and super resolution tasks.

• Worked on creating a reverse image search system in order to reduce redundancy within our dataset.

• Leveraged both newer machine learning models and traditional computer vision techniques in order to implement a lightweight solution for image reprojection.

• Assisted in both frontend and backend development of a desktop application created for retail furniture manufacturers to take photos with controlled lighting and a programmatically adjustable camera.

• Utilized camera calibration and perspective projection to map 2D grid onto 3D live view images.

• Implemented an application for automatic image temperature and shutter speed calibration.

• Worked closely with Depth Sensor to evaluate performance of depth measurement. Depth calculations included camera calibration and exploration into monocular and stereoscopic methods.

• Developed an object detection feature in capture tool software with a trained U2Net model. Further utilized the detection to determine object brightness.