Cloud Firestore & Cloud Memorystore for Redis / Valkey

Used technologies such as Node.js, Postgres, Cassandra, RabbitMQ, Redis, and ELK to design scalable high-availability systems that handle customer task data (i.e. images, video, audio) on an AI-powered platform with billions of API calls a month.

As part of the ML & Data Enablement team, I worked extensively on linking internal data pipelines using Python to analyze and automate handling of scheduled task processing failures on critical infrastructure on AWS.

Worked on the Ford Sync navigation team, using Qt Framework to develop the UI focusing on the layout and functionality of map related tools while closely collaborating with UX designers and other engineers.

Ran and managed a lab section for an intermediate level Python course, where I both graded coursework as well as walked students through key programming concepts alongside fundamental data structures and their applications.