Reorged from previous role at Twitch (subsidiary of Amazon)Amazon Pets Team- Designed and implemented features to support Amazon Pets to provide custom recommendations and features for pet products and access to veterinarian diet/prescription productsAmazon Prime Acquisition / Digital Acceleration Team- Building and supporting tools and services for digital businesses along the entire Amazon digital commerce lifecycle and nurture the growth of Amazon Prime subscriptions

Designed, built, and maintained cloud based, backend systems and APIs to power Twitch content discovery (Homepage, Liveness, Categories, Tags, Follows, Content Filtering), impacting up to 140 million MAU (monthly active users) and up to over 2.5 million concurrent users on twitch.tv.Collaborated alongside product and cross-functional teams to deliver and own features across multiple geographies and supported migration of live microservices, reaching over 100k requests per second, from legacy tech stacks to modern Amazon build tools without impacting customer services and experiences.Technologies include:Go, Amazon Web Services (AWS), and GraphQL

Provide back-end services for a real-time data streaming platform for the creation and maintenance of data pipelines and applications using Apache Kafka, enabling cross-functional teams throughout Nike’s technology and business organizations.Develop REST APIs and services for self-service provisioning of custom built Kafka connectors and message ingestion for a multi-tenant and centralized Kafka cluster supported on web UI, API, SDK, and Terraform providers.Technologies include:Go, Java, Apache Kafka, Docker, Terraform, Jenkins automation server, and Kubernetes (K8s).

Contributed to a cloud-based and customer facing Point of Sales system to replace legacy services running on in-store servers in multiple geographies to increase in-store and digital sales, providing a common system between Nike stores, partner stores, and online stores.Worked on multiple scalable RESTful services to construct service-oriented architecture for back-end solutions to support digital retail services.Technologies include:Java, Javascript, Node.js, Jenkins automation server, and AWS related technology stacks

Delivered load testing framework for a real-time data pipeline and streaming service on Apache Kafka to identify and improve confidence of load threshold and performance on a platform server.Provided performance and load metrics for an enterprise streaming platform that provides other Nike teams the capability to derive business value from data rather than focusing on management of their own streaming platforms.Technologies include:Scala, Apache Kafka, Akka toolkit, and Jenkins automation server

Implemented method for instructor side users to document assignment uploads for the Submitty Organization, an academic management site for Rensselaer.Updated and maintained API and documentation for RCOS website, the Observatory Project.