Self-taught Python developer and AI systems strategist with a track record of building investigative tools, automating legal workflows (e.g., Legal Jeeves), and designing tech that exposes systemic failures in healthcare, law, and public policy. I specialize in scraping, automation, and natural language processing to surface hidden patterns—whether it’s tracking civil rights violations, optimizing billing systems, or supporting underserved communities through data-driven advocacy. My work blends technical precision with a lived understanding of bureaucracy, disability, and injustice.