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Jupyter notebooks
Developing an online marketplace for AI generated images
Created a process to generate images given a set of input images and chosen style. The build out included a Gradient Notebook to highlight the feasibility of the model and allow for customer iteration of the process, a Workflow to run batch inference on a set of images and store generate images in a Dataset, and a live Deployment that allows users of the platform an interactive web application to generate art from their own source images.
Creating an interactive search engine for existing patents in the US and abroad
Built out an interactive web page deployed on Gradient that allows users to search a string of text and return the most similar patents to the searched text. This process was enhanced in a 2nd phase for the client by ensuring all models were stored offline and versioned and the sentence embeddings stored in a database. The main purposes of this 2nd phase were to speed up the rate at which new embeddings could be processed and stored, decrease response times of the application, and improve startup times of new instances to allow for more responsive auto scaling.
Creating and implementing retailer technologies for autonomous stores
Supported the ML team in building out Gradient Workflows to automate multi-layered pipelines that trained individual product object detection models that were aggregated with outputted annotated videos into a wide-reaching object detection solution.
