About

I make complex systems usable, trusted, and commercially effective.

My work sits at the intersection of customer success, operations, information governance, metadata, CRM, and implementation.

Today, I lead customer growth, service delivery, CRM/POS-supported workflows, vendor coordination, and daily commercial operations for SpeedQueen Laundry. I also contribute as a Research Collaborator with Simmons University, refining taxonomies, classification logic, coding standards, and evidence synthesis.

I bring more than 15 years of experience translating policies, customer needs, data, and workflows into practical operating systems. The settings have changed, but the work has remained consistent: organize the complexity, document the decisions, build the system, and make it useful for real people.

At Property Management One, I led operations across 140 properties and 2,200 units, expanded the portfolio by 25%, implemented AppFolio as a shared CRM and system of record, and coordinated service and reporting across boards, owners, vendors, staff, and residents.

At MindinMotion, I generated approximately $500,000 in revenue, reached profitability within three years, reduced product costs by 28%, and automated workflows that recovered 40 hours of operating capacity each week. That experience reinforced a principle that still guides me: strong systems must support both trusted information and measurable results.

My completed MSLIS in Archives Management, earned with a 3.86 GPA, gave formal language to governance and information work I had already been doing in practice: metadata, classification, controlled vocabularies, records, database design, digital stewardship, archival description, and access.

At Harvard Extension School, I have completed all ALM coursework with a 3.77 GPA and am completing the thesis as the final degree requirement. I am also enrolled in MIT xPRO’s Professional Certificate in Advanced Analytics with AI, ML, and Data Science.

My direction is clear: information governance, metadata, knowledge systems, implementation, data stewardship, and responsible AI—especially roles where governance must become usable workflows, trusted information, successful adoption, and stronger organizational performance.