● Developed a class management system using ReactJS and Firebase services, automating monthly
payments with Stripe and reducing administrative workload by 30%.
● Built a user-friendly interface, enabling teachers to manage classes, track student payments, and generate
invoices, leading to a 20% improvement in payment processing accuracy.

● Built a monorepo codebase using the microservices architecture with NestJS.
● Changed money data structure storage across the database and code to resolve inaccuracy, enhancing
financial transaction accuracy by 100%.
● Utilized AWS services including Lambda (serverless), EC2, S3, and Cognito to develop various platform
components, enhancing platform performance and reducing time-to-deployment.
● Implemented caching mechanisms to address performance issues by identifying frequently requested data
and storing it in memory, resulting in a significant performance improvement and reducing response times
from 6 seconds to 200 ms, enhancing overall platform efficiency.

● Improved system scalability by integrating 20 microservices with Node.js and AWS AppSync for
GraphQL, resulting in increased performance and overall system efficiency.
● Aggregated data from various sources to optimize lookups, eliminating the need for additional databases
like Elasticsearch and reducing operational costs by 10%.
● Transitioned from a single-tenant to a multi-tenant database system, providing 100% customer isolation.

● Improved search speed by up to 87% through effective caching and pruning, reducing response time from
14-16 seconds to less than 2 seconds, enhancing user experience and efficiency.
● Architected a serverless video processing solution, leveraging AWS Lambda for GIF extraction and AWS
MediaConvert for efficient processing, reducing media handling time and costs.