•Optimized customer-facing API performance by 88% and reduced memory needs by 92% through the use of efficient tree and map based structures and optimized database query to solve the N+1 query problem• Designed and implemented asynchronous microservice architecture with message broker with novel token based algorithm for back pressure handling. This enhanced elasticity reducing infrastructure cost by 60% and increasing system reliability

• Improved security landscape of the product with the introduction of mTLS for system to system communication between SaaS application and cloud platform backing services. Fullfilled the Security Product Standard resulting in better Security Validation results.• Integrated with Metering as a Service for seemless transfer of telemetry information related to user behaviour into Cloud Reporting Dashboard to help derive critical business insights. Implemented end to end cross charging of customers as per usage.• Completed POC to move the complete set of microservices from SAP BTP Neo to SAP Kyma, platform. Containerized the application with the help of cloud native build packs and created the kubernetes resources for application deployment along with provisioning of backing services and ingesting of credentials as secret. Configured load balancing and API gateway to serve requests.

Under the Eklavya Internship Program of IIT Bombay, worked on designing and developing a distributed search engine for IITBombayX, the e learning platform of IIT Bombay. The system used elastic search for querying and indexing of the data from MongoDB and MySQL database scrapped using Hadoop Map Reduce and Python Scripts