James Schuback

Creating deep neural networks for financial derivatives data prediction and modeling.

Lead concept planning and initial design of new MLOps monitoring product.

Created image-based accessibility detection system via CNN for identifying entrance types to store fronts; deployed for mapping app addressing over 30,000 businesses.

Spartan HUD prototyped an innovative heads-up display helmet and successfully sold and delivered its first batch on Kickstarter with over 200% funding.

Empirical Automation was a startup creating low-cost research robotics, pivoting to prototyping industrial-scale robot cells in plywood manufacturing powered by AI vision algorithms.

Created injury and sickness prediction algorithms based on athlete wellness data.

Embedded software; created algorithms to predict incontinence events via wearable data.

Developed novel inverse kinematics controller for Nao humanoid robot arms; created software for Gstreamer H.264 video streaming software suite from Raspberry Pi to VR headset.

Developed novel motion recognition algorithms from IMU data on embedded microcontrollers.

Negotiated successful sale of proprietary IP to a larger competitor company.