Currently I work as a Software Development Engineer at AWS Amazon Connect. I'm passionate about products that make impact and solve problems. My easy-going nature is a perfect balance to my enthusiastic and high-energy spirit.
Implemented a natural language processing, named-entity recognition (NLP, NER) project from start to finish to enhance automated document translation, expected to be included in December 2019 production release.
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Researched dozens of NLP libraries and experimented with NER capabilities of Flair, spaCy, and Amazon Comprehend.
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Trained over ten spaCy NER models achieving ~93% F1-score after creating 2000 annotations, then performed elementary data analysis on results to offer data-driven suggestions for future work.
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Illustrated models’ performance in final presentation by a building a full-stack web application visualization tool using a React.js frontend and python Flask backend.
Drafted two major AWS CloudFormation templates to automate the provisioning of resources such as VPCs, subnets, EC2 instances, and more when deploying the company’s largest software.
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Refactored several features, such as developing a more intuitive UI for displaying files by size, on a React-based application.
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Created user-interface tests using Cypress, a JavaScript testing tool.
