Expanding e-Commerce presence by integrating with 3rd party marketplace APIs to enable added sales channels across the globe supporting multiple fulfillment models.• Extending the capability of the systems to ingest external order data and process/transform them in an scalable way by creating a durable platform around well-known tools like Kafka. The event-based mechanism enables a bigger data flow and easier distribution of the load across the ecosystem.• Collaborated closely with cross-functional product teams during the discovery phase of new projects, leveraging technical expertise to align complex business requirements with stakeholder expectations. Employed design thinking principles to facilitate requirement gathering and alignment and ultimately translating the requirements into actionable tasks and stories to kickstart the development phase.• Developed multiple Springboot micro-services, with peak loads of up to 100K orders per hour following industry and company standards and best practices.• Undertook a critical role in tackling operational challenges by resolving longstanding bugs and system issues.• Instrumental in achieving a discernible reduction in production issues and reducing TTR (Time To Resolve)by improving Splunk logging and increasing unit test coverage in tricky areas of the system, enhancing system reliability and improving observability over system health.

• Working on marketplace integration between Lululemon’s internal systems and other leading e-commerce websites around the world, including building reusable microservices to support the integration.• Began development on a customizable scheduling of sandbox environments, reducing wasted uptime and decreasing costs of running by 45% by extending the API and using a microservice architecture• Tech-Stack: Java, NodeJS, Springboot, Kafka.

• Spear-headed infrastructure upgrade for internal insurance calculator application used by 100 employees, upgrading to a newer version of NodeJS and refactoring C# back-end to comply with new package versions.• Automated manual data fix processes using PowerShell scripts to access Microsoft SQL Server, reducing the time needed to run the data fixes by 86%. • Tech-Stack: C#, React, NodeJS, SQL, PowerShell.

• A highly selective accelerated ~10-week software development internship designed to give students professional experience working in an agile team-based environment towards a given project.• Contributed in creating a resume application to connect students with industry sponsors, to be deployed to over 1K+ members of Ada’s team, using a modern technology stack and industry methods to ensure the production of a clean, testable and maintainable web application.• Tech-Stack: React, NodeJS, Express, PostgreSQL, ZenHub.