• Architected, developed, and integrated frontend for document classification and annotation tooling for dataset building and supervised and active machine learning

• Developed and optimized UIs, effectively reducing errors and increasing productivity by 5x

• Created multiple scripts after recognizing company pain points of no easy test environments and data, reducing manual developer work by 4x

• Wrote end to end Playwright tests for entire annotation process, maintaining an individual 80 percent code coverage on metrics

• Integrated with complex backend APIs ranging from search, job requests, and bulk editing of large file sets

• Built and maintained web application used by users to track and process millions of documents

• Built a QA / QC application allowing users to very quickly, straighten, crop, rotate, and edit images and metadata on millions of pieces of content

• Built the research workspace, reducing the publication of financial data analytics process by 4x

• Mentored 2 junior developers with a delayed project through to project completion

• Designed, built, and released the TinyBeest app allowing over 10k active users to optimize and resize images using only two mouse clicks

• Automated donor recruitment process increasing sign ups by 10\percent\ and reducing recruitment time by 33\percent

• Tutor students in Javascript, Ruby, AngularJS, Ruby on Rails, and best practices

• Assist students with personal projects, wireframing, and pseudo coding