At the University of Oklahoma, I architected AtlasCollect, a microservices-based data platform that scales to 1.8k requests per second. I developed a resource-aware scheduler that eliminated system crashes during high-load data ingestion and an asynchronous worker system that reduced compute-heavy workflow runtimes by 60%.
I also built a migration tool with file deduplication and secure export/import services, improving storage efficiency by 30%. Redis caching and PostgreSQL indexing reduced API latency by 45%, while real-time task tracking provided sub-second progress updates.
Previously, at the University of Oklahoma, I developed a Next.js and Strapi web platform and automated outreach and database synchronization with Python and Selenium. At Persistent Systems, I developed enterprise APIs and ECM migration pipelines, including a .NET Core test-data generator using RabbitMQ.
