At Alberta Machine Intelligence Institute (Amii), I led an end-to-end contract-intelligence project for oil and gas clients VistaVu and Edmonton Exchangers. I built a timecard validation tool that cut checks from hours to seconds and reduced manual errors.
I designed a pipeline that extracts contract rules, maps their dependencies in Neo4j, and uses a deterministic rule engine to flag issues with supporting clauses. I tested it with 544 client-verified cases, with 540 exact matches across 10 contracts, and supported deployment on the client’s AWS environment.
At Justice Data and Design Lab, I worked with lawyers, legal researchers, and public-sector stakeholders to shape an open-access legal research assistant. I designed a Graph RAG system on LLaMA 3.2, grounded answers in legal sources and live ExaSearch results, and shipped it on GCP Cloud Functions.
At FormativeLabz Learning & Research Academy, I design and teach an AI adoption curriculum for professionals and STEM students. I also coach industry professionals through practical use cases, including how to evaluate AI and where human oversight should remain.
