• Developed a Full-Stack AI program to track users’ mental health across time in order to expand the company’s wellness initiative to combat the spike of depression and anxiety during Covid.

• Implemented a machine learning model capable of interpreting facial expressions and speech patterns by creating a five layer recurrent neural network with an 89% success rate in detecting emotional states.

• Designed, developed, tested, and deployed a full-stack web-interface to allow users to interact with the tracking system and see their results.

• Performed regression analysis on large dairy farm data, assessing the environmental impacts of methane and other gasses.

• Automated testing procedures, and improved CI/CD protocols to streamline development, gaining a 10% reduction in deployment times.

• Analyzed the codebase to identify and resolve bugs and vulnerabilities; decreased code failures by 15%.

• Assisted Dr. Van Renesse manage a class of over 200 students by grading student exams and homeworks, facilitating student discussions on the EdStem platform, and holding office hours for programming assignments.

• Designed and implemented an Android application with efficient real-time communication through data synchronization and optimized messaging protocols.

• Delivered an MVP featuring chat functionality, customizable user profiles, and a referral system.

Developed a web application for the Daily Sun to enable rapid access to news stories for readers in the Ithaca region.