I’m a product-driven problem solver with a deep passion for AI, data-driven innovation, and venture-backed growth. My journey began with a strong technical foundation—earning a degree in Business Information Technology from Virginia Tech—and has since evolved into a career at the intersection of machine learning, product strategy, and scalable SaaS growth.

At Accenture, I served as both a Machine Learning Engineer and Product Manager for the Dashboards team, where I helped shape product direction while architecting and deploying ML-powered insights at scale. This dual role sharpened my ability to balance technical complexity with user-centric product thinking—an approach I bring to every initiative.

I’ve led high-impact product teams at Splunk and Accenture, and tackled complex Big Data and AI challenges at Healthgrades and Spectrum. My work has spanned AI-powered automation, observability, computer vision, and strategic infrastructure optimization, consistently delivering measurable outcomes—like a $93M contract win, 500% efficiency gains, and a 0% outage rate for enterprise clients.

I thrive at the intersection of machine learning, product-led growth, and market expansion, helping companies build high-performing, scalable technology. Beyond my core roles, I’m deeply curious about emerging technologies and how markets adopt and respond to innovation.

When I’m not immersed in product strategy or experimentation, you’ll likely find me exploring side projects, golfing, or diving into unfamiliar topics just for the joy of learning.

Interested in chatting? Reach out!