• Collaborated with the commercial team to develop a web application with interactive graphs using Vue.js and Vuetify, enhancing UX by transforming complex healthcare data into actionable insights.

• Built a context summarizing feature on Salesforce platform using Gemini AI, improving user productivity by delivering essential physician information and driving a 10% growth in click rate on physician profile.

• Engineered advanced indexing strategies for PostgreSQL databases on Google Cloud Platform to ensure high availability and fast retrieval of physician and hospital data, elevating query performance by 38%.

• Constructed RESTful API endpoints with Flask for database CRUD operations on millions of physician records, reducing query latency from 1s to 20ms with Redis caching.

• Created a comprehensive test suite using Pytest, Jest, and Vitest, utilizing Sentry for error monitoring, improving backend stability and ensuring robust application performance.

• Developed an expanded toolset with AWS services to fully automate the manual workflow for Alexa Skill revocation requests across NA, EU, and JP regions.

• Optimised CRUD operations using API Gateway by defining versioned HTTP endpoints, ensuring robust validation and fortifying security with IAM authentication.

• Built four AWS Lambda functions with Java, integrated SQS to scale processing from 100 QPS to 30,000 QPS, and implemented Dead-Letter-Queue to enhance reliability in handling failed requests.

• Leveraged partitioning, indexing, and data stream with DynamoDB to efficiently manage over 2.5 million data.

• Created real-time monitoring with CloudWatch metrics and AWS SNS alerts to notify on-calls within 2 seconds when system health issues arise.

• Created a CI/CD pipeline with AWS Code Pipeline to automate testing, reducing release cycles by 33% and attaining 95% unit testing coverage with Junit and Mockito.