Integrated the 3rd-largest Electronic Health Record (EHR) company in the US into a system to retrieve patients’ medical records regardless of EHR software employed in hospitals
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Revamped a React frontend, allowing non-technical colleagues to configure settings for thousands of record retrievals per day
Built a visual log app to automate validating and improving the performance of Computer Vision algorithms for identifying over 1,000 products in retail environments (for a frictionless checkout company) using Streamlit, OpenCV, and Google Cloud
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Developed an image embedding explorer web app to analyze images from in-store cameras to identify similar products, and reduced image processing time by 50% with a caching feature
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Created a 98% accurate semantic segmentation model to detect occlusions of products, including pipelines to aggregate and preprocess images, using OpenCV and Gluon
Designed & developed a local mirror of the identified data platform serving the largest health data ecosystem in the US to accelerate development cycles using FastAPI, Azure, and Docker Compose
