All Projects
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Musculoskeletal forces from smartphone video. Open-source software developed at Stanford University for computing skeletal motion and musculoskeletal forces from smartphone videos.
Built the first clinically available ML-powered monocular pipeline for biomechanics (OpenCap-Monocular), enabling accurate patient diagnosis from a single phone camera and improving healthcare accessibility. Open-source research project for monocular motion capture.
Developed and deployed a cloud-based SaaS platform using CV and LLMs to transform static catalogs into interactive sales tools, built on GCP with Docker-based CI/CD pipelines.
iOS/Android mobile app utilizing computer vision to measure jump height from the camera. Rapidly prototyped and iterated on app features based on user feedback.
iOS/Android mobile app utilizing computer vision to measure ball speed from the camera. Rapidly prototyped and iterated on app features based on user feedback.
Mobile app for motion analysis. Coming soon.
Picture marketplace for race and event photography.
Open-source biomechanics visualization web app for 3D motion analysis.
Professional website for PG Brush.
Website for Sila Bikes.
Fine-tuned the Segment Anything Model for precise spinal cord segmentation, enhancing medical image analysis.
Developed a multitask YOLO model integrating image classification and object detection, enhancing perception for semi-autonomous driving systems.
Developed drone exploration algorithms enabling onboard cameras to locate and track a moving platform for autonomous landing.
Data analysis exploring relationships between suboptimal climatic conditions and pigs' health.