1.Managed and improved the end-to-end in-house chat backend, which handles nearly 1 million RPM throughput during peak hours. Implemented cache layers, asynchronous calls, and eliminated redundant calls, resulting in reduced API latency and enhanced overall user experience.2. Executed a seamless database migration from PostgreSQL to Google Cloud Spanner for all chat services. Conducted a comprehensive analysis of GCP-managed databases, selecting the optimal database solution for our specific use case. Designed and implemented an in-house migration solution, ensuring zero downtime. Leveraged Spanner's benefits, including strong consistency, unlimited scalability, and schema migration without disruption, to enhance overall database performance.3. Implemented diverse chat features, including message and channel deletion, voice notes, location notes sharing, and quick chat functionalities, enhancing the overall user experience.4. Developed an in-house chatbot backend for support and promotional campaigns, achieving a 40% resolution rate for user queries without manual agent intervention. This successful implementation significantly contributed to cost savings by reducing the need for manual support.

1. Enhanced chat homepage load time by 40% through the reduction of latency in fetching chat channels APIs.2. Enabled chat between driver and receiver for logistics services.3. Implemented service level tests (SLTs) for chat services, achieving 90% coverage. These test cases were instrumental in verifying end-to-end functionality by effectively simulating and mocking external dependencies.

1. Developed a file upload component using Angular 7, enabling seamless uploading of files to AWS S3 in the background. Additionally, established a worker to consume file upload events from Amazon SQS, facilitating file validation processes on the uploaded content2. Integrated google analytics tool in the webpage. By integrating Google Analytics, we gained valuable insights into user behavior, empowering our product team to make informed decisions and enhance the user experience.