Working on both a microservice-based, cloud native, global-scale machine learning platform as well as its modern web frontend using cutting edge technologies such as Go, Kubernetes, and ArgoCD.

Implemented an end to end solution to allow users to revisit their recently viewed articles, including designing database table schemas, developing a Spring Boot REST API, and creating an Adobe Experience Manager component front end.

Took charge of all technical elements involved in the setup and roll out of Scholastic's new LitLeague site.

Played a major role in the architecture, development, and roll out of a new set of websites for the LitCamp Flex and LitCamp by LitPro products using Scholastic's internal Enterprise AEM component set and following AEM best practices.

Served as the principal back-end developer on the creation of the new Magazines+ Student Homepage experience, designing and building the Java back ends of all new components.

Contributed to the full stack of Adobe Experience Manager-based digital Classroom Magazine websites as well as other web-based educational products, using Java, Javascript, SCSS, and AngularJS.

Collaborated with Product Owners, Magazine Editors, and Designers to ensure site components were implemented as desired amid changing business requirements.

Streamlined the cookie system used across over twenty five sites by creating a system to serve product thumbnail URLs, reducing overall cookie size by up to 60%.

Ported an automated order entry system from an Adobe Experience Manager codebase into a Spring Boot API used across the company, reengineering it in the process.

Implemented an authentication system tailored for large organizations and allowing for multiple authentication methods to Scholastic’s new Learn at Home product.

Intro to Computer Science, Fall 2018, Data Structures, Spring 2019, and Concurrent Programming, Fall 2019.

Graded assignments, quizzes, and exams.

Administered lab and recitation periods.

Held weekly office hours, assisting students with assignments, concepts, and programming.

Assisted in course planning and the creation of assignments and exams.

Assisted in research under Professor Samantha Kleinberg involving Machine Learning and Bioinformatics.

Designed and ran pilot research experiment.

Created an Android application to facilitate data logging by trial participants.

Worked with wearable devices to read and interpret biometric data.

Used machine learning tools to develop algorithmic hunger prediction model.