moosa User

I’m a graduate student in Computer Engineering at New York University, focused on building practical software that performs under real constraints. I’ve contributed as a Remote Software Engineer Intern at PeopleTime—developing Flutter features with Python/Java backend services and improving application load performance by 44% through state management and rendering optimizations.

My projects blend full-stack engineering, data pipelines, and machine learning: DropAlert delivers real-time notifications using Python, Playwright, Redis, and PostgreSQL with deduplication and 99.9% uptime, while my EDGAR Financial Dashboard ingests SEC EDGAR XBRL 10-K filings via an idempotent FastAPI + SQLite REST backend deployed on Railway. I also build calibrated ML inference services (e.g., SizeSync with XGBoost and CalibratedClassifierCV) and enjoy shipping clean, user-facing tooling like ContextBridge and browser-based systems.