1. Currently working on generating audit events for Group Copilot Interactions. This will provide Organization Admins visibility and transparency into Group Copilot activity during forensic investigations.

1) Worked on advanced auth for Teams Tier 1 service s2s calls using R9 SDK and S2S Extended Auth Library (MSFT internal).2) Worked on GDPR requirement for a Teams Premium (E5 license) feature: Advanced Collaboration Management. Designed the data deletion flow for a User/Tenant. Designed validation flow to validate that desired data is completely removed from the system.3) Worked on making a high-volume service EuDB (Europe Data Boundary) compliant. The EuDB specification mandates the companies to ensure that the data of any European customer never leaves Europe's Geographical boundary. Redesigned the service to undergo a smooth transition of logs and metrics, Teams Meeting and Calls audit logs, data stores of the service, and the migration of the entire Azure infrastructure of service viz. Redis Cache, Azure Queue, Blob Stores, Key Vaults, etc. Performed integration testing and feature roll-out worldwide.4) Worked on integrating Guest and External Teams users' with Auditing for Security Insights. Aligned three teams involved, designed the feature, implemented and tested E2E.5) Implemented an end-to-end solution for Teams Meetings/Calls Audit Logs. Worked on all aspects like understanding requirements via cross-team engagement, designing the solution, implementing the solution with tests, and setting up continuous integration and deployment. This project will help the organization admin with forensic investigations around a Teams Meeting in case of any breach or incidence.6) Worked on 'Teams Secure Score' for hundreds of organizations that use Microsoft Teams as their communication channel. This project will help the organization admins to understand the security posture of their organization, what could be a potential threat to the organization's security and can take steps to mitigate it.

1) Deprecated legacy Mason code responsible for adding eGiftCards (Amazon/Branded) to cart and migrated the add-to-cart logic in a tier-1 Java REST service, this new end point handles add-to-cart for all the marketplaces worldwide2) Developed and implemented logic to fetch eGiftCard (Amazon/Branded) product attributes from Datapath and AmazonAPI and deprecated the legacy RemoteProductAggregator Service3) Implemented the Currency of Preference(CoP) for Amazon One Time Reload and Recurring Auto Reload pages, gift card balance page, thank you page so that customers can enjoy shopping in their currency of choice in the international shopping mode4) Performed Prime Day/Q4 Peak Readiness for a Tier-1 service which included Stress Testing to find max TPS(Transactions/sec) supported by the service host, finding service breaking point and recovery time, VIP(Virtual IP) partitioning to prevent any potential unavailability and distributing load across multiple load balancers, Developing a dashboard for easy and systematic monitoring of various service vitals like API latencies, spillovers and service availability.5) Developed an alternate logic in a Java Coral service to trigger the threshold gift card auto reload, used SNS to listen to balance change events published by balance service, used SQS for asynchronous processing and optimistic locking to avoid duplicity, used Service Integration Layer(SIL) vended by the workflow service to trigger a gift card auto reload workflow.6) Implemented entity filtering logic to sign the purchase document for Amazon eGiftCard before generating an orderId7) Fixed a long standing issue with recurring auto reload of eGC balance in Japan marketplace, and an issue with default amount selection on Amazon Gift Card balance reload page upon session time out8) Developed OTP trigger for Amazon Gift Card claim in UAE and Turkey marketplaces9) Launched Amazon eGiftCard Detail page in Netharlands marketplace

Full Stack Development - TempoQuest Inc.1) Building front end using Bootstrap/JavaScript and Scala template engine2) Building back end using Java MVC with Play Framework3) Building a RESTful API for client engagement with the product and dissemination of results4) Developing multiple real time status reporting systems using Quartz scheduler5) Deploying and maintaining the complete project on Amazon AWS

Machine Learning and Applications Engineer - Decimal Point AnalyticsMachine Learning Developer1) Building Machine Learning models(classification/regression) for client and internal products2) Obtain and deliver actionable patterns/information from client databases using Machine Learning and Deep Learning3) Building automation pipelines to automate client’s manual process4) Integrating manual classification results with Machine Learning model in real-time, and improving task accuracy further5) Scraping and providing processed data to the clients as per their needsFull-Stack Developer1) Building front end using Bootstrap/Javascript, AngularJS2) Building back end using Java MVC with Play Framework3) Integrating notifications using emailing API’s like Amazon SES, Sendgrid API etc4) Building RESTful API for client services5) Designing Database for client/home projects6) Deploying and maintaining applications on Amazon AWS