As an Undergraduate Course Assistant at CICS, I facilitate student learning of the fundamentals of UNIX, the C programming language, and computer system principles. This involves conducting weekly office hours to establish a collaborative learning environment. In addition, I support students by answering questions, clarifying core concepts and helping students effectively pick up course material.

As a software intern on the inbound logistics team, I developed new functionality in a warehouse scanning app using Kotlin, Redux, and Spring patterns leading to improved user error handling and faster issue resolution. Additionally, I implemented a real-time data pipeline (Kafka, BigQuery) for product teams to analyze app usage and optimize workflows. Through on-site user testing, I validated the app's functionality and verified substantial time savings in resolving high volume warehouse errors.

As part of the FinTech Engineering organization, I worked on several decoupled financial systems that power Wayfair's core financial services. Throughout my internship, I achieved significant milestones, including: owning and successfully executing two integrations that deliver crucial statistical insights such as employee headcount data and active customer counts to SAP, enhancing reporting and financial planning; building a proof of concept for a currency service that provides exchange rate data to Wayfair's internal applications; and integrating Datadog monitoring across four decoupled services, enabling strategic optimization that reduced order payment reconciliation time from 1 second to 0.1 seconds per order.

During my time at E & J Gallo, I was able to deliver operational insights to Sales and Wine-growing organizations using automated ML pipelines. This involved the design and deployment of scalable MLOps for Data Science teams using AWS SageMaker, Step Functions and Lambda.Additionally, I was able to automate the hosting of ML model endpoints by engaging with Jenkins, Kubernetes, AWS RedShift and PostgreSQL. A sales-domain based project involved the design of a classifier model to detect cannibalization of sales within the organization’s brands.