Willing to relocate: Iowa, Minnesota, Michigan, Wisconsin, Chicago, Maine, Vermont, and other areas less affected by future climate change with a reasonable cost of living.
More than a decade of experience in creating innovative products and co-founding startups within the computer vision space, I have a strong background in developing object tracking in 2D and 3D, facial features interpretation, and eye gaze tracking. My current project involves eye-tracking technology for fighter pilots, designed for use in both simulator cockpits and helmet displays. Previous projects include systems to optically grade student assessments via Chromebooks and WSAM in real-time, 3D multi-camera tracking of body poses, visual interpretation of emotional affect in both humans and animals, and technology for measuring pupil responses. I also have a background in medical computer vision applications, including automated computation of ejection fractions from cardiac MR and echocardiogram data, as well as interpretation of intravascular ultrasound (IVUS) images.
Remote: Yes
Willing to relocate: Iowa, Minnesota, Michigan, Wisconsin, Chicago, Maine, Vermont, and other areas less affected by future climate change with a reasonable cost of living.
Technologies: C/C++, Python, Javascript, OpenCV, PyTorch
Resume/CV: Upon request, LinkedIn https://www.linkedin.com/in/stevencharlesmitchell/
Email: steve@componica.com
More than a decade of experience in creating innovative products and co-founding startups within the computer vision space, I have a strong background in developing object tracking in 2D and 3D, facial features interpretation, and eye gaze tracking. My current project involves eye-tracking technology for fighter pilots, designed for use in both simulator cockpits and helmet displays. Previous projects include systems to optically grade student assessments via Chromebooks and WSAM in real-time, 3D multi-camera tracking of body poses, visual interpretation of emotional affect in both humans and animals, and technology for measuring pupil responses. I also have a background in medical computer vision applications, including automated computation of ejection fractions from cardiac MR and echocardiogram data, as well as interpretation of intravascular ultrasound (IVUS) images.