Adapted to new tech requirements put in place by the team App Architect through the implementation of Next.js and Prisma under strict time constraints

Bridged the gap between customer needs and technical execution by fostering transparent dialogue between stakeholders and the development team

Leveraged Next.js server-side rendering to deliver fast and optimized pages for an improved user experience

Built a custom back-end using Node.js and Express that communicates with the OpenAI's GPT-3 API to generate tweets and the Twitter API to post tweets

Integrated MongoDB and Mongoose to create a data persistence layer that supports the business logic and can be easily queried and updated

Utilized SQL queries to aggregate, manipulate and join data from multiple tables

Increased throughput to 1000 RPS with an average response time of 11ms and 100% completion rate by deploying a single server instance on AWS

Implemented an NGINX server to load balance 5 server instances and increase 100% completion throughput by 4x