A few things I've worked on.
Real work across AI startups, enterprise consulting, and operations teams.
Bringing accuracy to a PropTech platform's data and demos
The platform was producing inaccurate outputs. The underlying address data feeding its analysis was flawed, and without a consistent process in place, engineers had little visibility into why the results were off.
Corrected the data at its source and established the structure to keep it accurate — SOPs, Notion workflows, a pre-demo testing process, and light automation to reduce manual follow-up.
The platform's output accuracy improved significantly, resulting in more consistent, higher-quality client demos.
Real-time visibility into an enterprise cloud migration
The team was losing 6–7 hours every week just pulling together status reports for clients by hand.
Helped build a Power BI tool that pulled it all into one place, and tightened up how we tracked and followed up on work.
That 6–7 hours a week disappeared, leadership could see project health in real time, and milestones moved 15% faster.
F1Bot — a chatbot that answers anything from their document library
Their teams had huge libraries of documents, but no fast way to actually find the answers buried inside them.
Helped build F1Bot — a chatbot that pulled from all those documents, so anyone could just ask a question and get a real answer.
Instead of digging through files, people could ask F1Bot and get what they needed in seconds.