Software Engineer Intern
- Implemented process monitoring machine vision model based on transfer learning, ultimately reducing yield loss by an estimated 50%.
- Developed adaptive extrusion control system using a convolutional neural network and contour analysis algorithm in PyTorch and OpenCV, honing product quality
- Built both systems using Python-based computer vision and machine learning stacks on the Google Cloud Platform (GCP) and customized the models for deployment on facility-specific hardware.