Role: Tech lead @ Apple (2018-2022) * Led a team of computer vision researchers to develop hand-tracking algorithms for the Apple Vision Pro. Technical highlights: * Auto-annotation of 1 billion+ images involving pose estimation, mesh reconstruction and object segmentation. * Semi-supervised multiview algorithms involving real and synthetic data. * Designed and implemented 2D-to-3D lifting algorithms

Role: Principal CV Consultant @ Tractor Supply Company (2024 - Present) Technical highlights: * Scaled YOLO-based object detection+tracking systems to monitor personnel across 3000 stores. * (Ongoing) Training Diffusion-based Image generation models for product advertisements. 💡TractorVision project mentioned in the TSC magazine

Role: Principal CV Consultant (2024-Present) Technical Highlights: Developed an anomaly detection and segmentation system for sewer pipes; Scaled it to process 100 million feet of pipe data.

Role: Director, Computer Vision @ Bonsai Robotics (2022-2024) * Balanced individual contributions (60%) and management responsibilities (40%) while leading a team of 5 computer vision and data scientists. Technical highlights: * Deep learning models involving multiple heads for tasks such as object detection and segmentation to name a few. * Optimized models on embedded

ROLE: Computer Vision Scientist @ Gumgum (2016-2018) I like to call it my "Accelerated PHD". My role involved building CV detectors utilizing the SOTA research in the field. Technical highlights: * Built context-driven ad placement system by analyzing images on publisher websites * Trained multiple object detectors for brand logos at