● Implemented authentication features with Next.js, Flask and Auth0, synchronizing user account creation to the database allowing easier management of user information.● Designed database schematics and backend features using Flask and PostgreSQL, allowing the backend system to receive translation requests quickly and securely from users while maintaining frontend functionality. ● Reduced frontend latency by 40% by redesigning and organizing backend API calls to different translation endpoints.● Deployed machine-learning models on AWS Sagemaker using Docker, allowing access to faster translation models for more commonly used languages.

● Developed a full-stack website using React, Redux, and PostgreSQL to assist employees in carrying out their insurance claim requests● Designed several UI features to increase language accessibility through the i18n module, including a custom banner system that allows employees to receive customized messages in their language of preference.● Restructured translation data to improve readability, decreasing front-end render time and allowing easier feature implementation and understanding.● Updated node modules for past libraries, ensuring that code is up to modern standards