Machine Learning Intern
Intel
Computer Vision
Autonomous Driving
Deep Learning
Research
Designed novel semi-supervised learning framework for advanced driver-assistance systems (ADAS) to automate object detection labeling. Resulted in 20% improvement in accuracy and research paper acceptance at ICCV 2023 workshop. Developed proof of concept to grade severity of ADAS collision avoidance alerts enhancing fleet manager decision-making