• Founding engineer of Luminate SV(M) (Streaming Viewership, Modeled), the entertainment industry's trusted third party of record.

• Since SV(M)'s official release in 2024, Luminate has seen a 7-figure annual revenue generation in client-based deals from the tool.

• Designed, implemented, and improved a wide variety of features across the stack, such as data exports, the market analysis page, demographic data, and numerous migrations + upgrades.

Languages: Java with Spring, Python (DBT), React, JavaScript, Typescript, CSS.

Backend Engineer for Discz Music. Working to build the future of music.

• Built the backend functionality for several core features of the Discz app, including (not limited to) universal search, authentication, social communities, and commenting functionality, resulting in a substantial increase in DAU growth and app performance. Key tools used: Python, Django, GraphQL, Elasticsearch, PostgreSQL, AWS

• Worked closely with iOS engineers, product designers, Head of Creative and CEO to ensure the highest level of operational excellence in both product and performance improvements.

• Consistently resolved Python, Django and SQL optimization related bug fixes, as well as migrated our image hosting architecture from Firebase to AWS S3.

Worked as Backend Engineer in Amazon Music to help construct Amazon's new live music & radio platform Amp. Created, designed, implemented and improved many services crucial to the functionality of Amp's backend infrastructure, specifically through the recording, transmission, embedding, and publishing of live audio.

Previously worked in Connected Vehicle, a division of the Last Mile organization. Voyager specializes in the development, installation and maintenance of hardware devices fitted into Amazon Delivery vehicles to capture video data that is used for delivery and driver safety optimization.

Responsible for planning, hosting, and executing both internal and external-facing events in order to develop team cohesion and brand outreach.

As a returning intern to the Search Data Platform Team (SDP), I was tasked with two projects spanning a variety of backend applications and frameworks that needed implementation and/or improvement. The first project consisted of migrating a backend python search application into a Kubernetes cluster environment, including Gitlab CI pipeline configuration to allow for continuous integration and deployment. SDP till this point had only used GoCD pipelines for deployment, and no applications in production were deployed in docker containers. The second project revolved around modifying an existing application that utilized a batch process flow to a Kafka stream process, improving the relevancy and accuracy of clickstream data. Many applications were modified to satisfy the project requirements, and eventually both projects were deployed into production and are currently being maintained by the rest of the team. A full summary of my work, including design documentation can be found here: https://tinyurl.com/y6szvupr