Pryon is an AI company that connects enterprise employees to digital transformation through an Augmented Intelligence platform, extending their ability to find and use knowledge, drive workflows, and make better decisions from wherever they are.

• Built a classification model to identify relevant search results for determining copyright infringement.

• Achieved accuracy and recall gains of over 80% compared to the existing system, resulting in significant reduction in manual review effort on misclassified records.

• Structured training data collection pipeline and oversaw annotation process.

• Responsible for end-to-end deployment, from analysis and feature engineering to testing, implementing a production-ready service for model training and prediction; visualizing and communicating results with a focus on reproducibility.

• Developed a named-entity recognition model for a resume parser and improved accuracy of existing components up to 97%, resulting in more accurate candidate metadata structuring for the talent acquisition process.

• Developed multiple prediction-based web services for matching skills and job descriptions, used in components throughout the application and successfully deployed them to production.