• Spearheaded as Tech Lead the development of Readiness Checks – a year-long project with a team of eight engineers that culminated in the launch of in-platform automated pre-assessments. This tool allows teachers to assess their students' prior knowledge of the upcoming unit's curriculum, then provides quick and actionable recommendations for adjustments to their lesson plan in response to the data.

• Contributed to a recommendation system associated with Specialized Support Profiles (SSPs) - a hub for teachers to share knowledge about students with IEPs, 504s, and other targeted interventions. Teachers can now see SSP data along with relevant interventions for individual students directly within their lessons plans.

• Supervised a team of interns for the finance team, during which time the team raised $39.4 million in the third quarter – more than any race in Maine history, second-largest for a senate race nation-wide, and quadruple our Republican opponent Susan Collins. Projects included researching donors, preparing for national fundraisers, phone banking to solicit donations from high capacity donors, and buttressing critical operations in campaign finance compliance.

• Automated in Python integral tasks for the finance team including calculating giving history for potential donors, standardizing contributor information for NGP, and streamlining the generation of thank you notes in order to significantly increase efficiency and output for the whole team.

• Supplemented the overarching campaign effort during Get Out the Vote by knocking on over 1,500 doors for the field team, utilizing constituent pressure to expand access to absentee voting for 10 Maine municipalities with the voter protection team, and staffing both drive-in Sara Gideon rallies for the political team.

• Built accessibility tools in React aimed at improving the learning experience for students with IEP's and English Language Learners including Voice Typing and Text to Speech.

• Introduced handwriting recognition into the student math editor to allow students to convert their handwritten math into LaTeX that is inserted into their document.

• Integrated a Ruby on Rails logging system into the Notebooks (student document system) codebase to log student and teacher usage of editor functionality and determine areas for further improvement.

• Redesigned translation software for the Machine Translation for English Retrieval of Information in Any Language (MATERIAL) project using transfer learning for a cross-lingual information retrieval system specifically for low-density and surprise languages, with training data in Swahili and Tagalog.

• Created and updated the All About NLP (AAN) website interface and database with a focus on improving search queries through machine learning as part of a team of developers.