At NLSC, I turn raw field information into clear intelligence on criminal networks and trafficking activity. I run OSINT checks, assess source reliability, and identify evidence gaps for operational teams and law-enforcement handoffs.
I designed, built, and shipped 19+ AI-assisted tools on my own, including dashboards, OSINT automations, reporting pipelines, and reusable workflows. I use Claude Code and Lovable to build systems that track sources, assess confidence and evidence recency, and keep a human reviewing AI outputs.
I built a case-readiness system that scores files across Place, Victim, and Offender, measures completeness, and creates ranked collection checklists. I also guide three Research Associates on case strategy, OSINT collection, and quality review.
My earlier work includes field research with the Trans Sex Workers community, skills training through the Naan Mudhalvan Scheme, and member-profile checks at ISSP. My criminology background informs how I approach research, sensitive information, and evidence.
