I build at the intersection of strategy, product, and AI.
Fraud strategist and product builder using AI to transform complex problems into practical systems, useful products, and smarter ways of working.
Protecting trust with data and better decisions.
Fraud strategy, authentication, analytics, and the controls built from them.
Leading fraud controls across wires, ACH, Zelle, and non-monetary activity—turning emerging risk signals into scalable strategies, monitoring systems, and operating workflows.
- Reduced unauthorized transactions and customer friction by 60% through authentication redesign, real-time rule optimization, and stronger control enforcement.
- Built a behavioral case-review framework combining phone intelligence, risk signals, and historical fraud trends to improve investigation efficiency by 60%.
- Created centralized Snowflake and Tableau reporting for fraud KPIs, Reg E and UTR service levels, and executive performance visibility.
- Authored audit-ready procedures and playbooks that standardized fraud handling, regulatory documentation, and team training.
- Designed AI prototypes for conversational investigations, chat-with-data analytics, and self-serve regulatory and training guidance.
- Built an AI-assisted investigation concept that placed 3rd among 180+ RBC enterprise teams.
Agents built around the work.
Workplace agents and independent automations designed to return time and sharpen judgment.
AI prototypes for fraud operations.
Public-safe concepts for investigations, control strategy, and analyst enablement.
Turns a client fraud-reporting call into an investigation-ready package: key facts and participants, a fraud narrative, a documented 14-question intake, and a follow-up email that asks only what the call did not answer.
Less time documenting. More time investigating.Independent n8n workflows.
Demo-led experiments connecting models, data, and APIs. Open one to explore its architecture.
Workplace concepts are prototypes. Savings and capacity figures are estimates based on stated review volume and time assumptions. Employer-specific data and implementation details are excluded.
From thesis to working products.
Three AI-assisted builds across personal finance, investing, and thoughtful gifting.
Proof beyond the job titles.
Recognition and ideas shared while building.
Built to connect the dots.
Fraud expertise, analytical depth, product leadership, and AI-assisted prototyping.






