About

My technical toolkit spans modern frameworks like FastAPI and Axum, containerization with Docker, and cloud deployment strategies across AWS Lambda, Render, and DigitalOcean. I excel at transforming complex data challenges into production-ready applications.

From NFL sentiment analyzers with MongoDB Atlas integration to AI-powered recipe parsing services using transformer models—I build systems that balance analytical rigor with practical implementation. Healthcare experience has strengthened my ability to merge technical precision with human-centered design.

I specialize in data pipeline construction, ETL/ELT processes, and building robust APIs that serve real-time analytics and machine learning insights. My approach combines rigorous data science methodologies with modern software engineering practices, including MLOps, containerized deployments, and comprehensive documentation standards.

Whether developing sentiment analysis tools, building microservices for recipe intelligence, or creating scalable game schedule APIs, I focus on delivering maintainable, well-documented solutions that drive business value through data-driven insights and automated workflows.