As Lead Software Engineer, I drive the development of our full-stack platform, delivering production-ready features that align with both user experience and platform strategy. Our data architecture uses a dual-database approach, combining PostgreSQL with Prisma ORM for transactional integrity and MongoDB for flexible data storage to support both performance and scalability. I coordinate frontend and backend integration to enhance system efficiency, modularity, and long-term growth, while overseeing production infrastructure and deployment operations to maintain stable releases and optimize runtime costs through CI/CD automation and continuous monitoring. The platform is built on a custom, enterprise-grade framework designed for modularity, testability, and configuration-driven service management, enabling rapid feature development and robust platform evolution.

As the Lead Developer for the Radio Astronomy Data Interference Optimization System (R.A.D.I.O.S.) , I designed an algorithmic framework to mitigate Radio Frequency Interference for future NASA lunar astronomy missions. Moving beyond standard data excision methods, I engineered a solution theoretically capable of suppressing 20 dB of interference to support the recovery of faint cosmic signals. I proposed a hybrid signal processing architecture that specified C++ for low-latency noise cancellation and Python for machine learning integration to optimize real-time data recovery workflows. Additionally, I authored the technical narrative for a NASA proposal, articulating technology infusion pathways and establishing the project's alignment with NASA’s lunar exploration objectives and the 2024 Technology Roadmap Taxonomies.