Ray Phan

Ray Phan is a highly accomplished professional in the field of computer vision and software engineering. He is currently a Principal Software Engineer in Perception at Magic Leap, where he has been working since April 2021.1 Prior to this, Ray held the position of Senior Computer Vision Research Scientist at SEED (Electronic Arts), which he started in October 2020.2

Education and Background

Ray holds a Ph.D. in Electrical & Computer Engineering from Toronto Metropolitan University (formerly Ryerson University), which he completed in 2013.1 He has also served as a part-time instructor at the same institution.

Professional Experience

Throughout his career, Ray has held several notable positions:

1. Principal Software Engineer, Perception at Magic Leap (April 2021 - Present)

   • Part of the World Sensing organization within the Perception group
   • Researches, designs, and implements algorithms for 3D reconstruction in AR environments
   • Leads a small international team on 3D mapping projects1

2. Nanodegree Mentor at Udacity (May 2021 - Present)

   • Evaluates student projects and provides technical support
   • Recognized as an elite mentor for Q4 2021
   • Mentors in Sensor Fusion and Machine Learning Nanodegrees1

3. Computer Vision, Machine Learning and Deep Learning Mentor at SharpestMinds (February 2019 - September 2022)

   • Trained aspiring and experienced data scientists and machine learning engineers
   • Focused on computer vision, robotics, perception, and deep learning1

4. Research Assistant at IMAX (February 2006 - September 2008)

   • Implemented image segmentation algorithms for 2D to 3D conversion processes1

Skills and Expertise

Ray has over 20 years of software development experience, with particular expertise in:

• Computer Vision
• Machine Learning
• Deep Learning
• 3D Reconstruction
• AR/VR Technologies

His GitHub profile (username: rayryeng) showcases his contributions to various projects in these areas.3

Ray Phan's diverse experience and expertise in computer vision, machine learning, and software engineering make him a respected professional in his field. His work spans across industry, academia, and mentorship roles, demonstrating his commitment to advancing technology and nurturing talent in the field.