Projects that balance systems thinking, craft, and momentum.

I led the technical and operational shape of the work end to end: intake, vendor coordination, implementation planning, financial alignment, deployment, and sustainment. That included aligning enterprise roadmaps with what individual resort and line-of-business partners actually needed on the ground.

The flagship refresh modernized 137 digital touchpoints across 18 resort properties, covering wayfinding, food and beverage menus, lobby boards, and tip boards through a more centralized content delivery model. It turned a scattered operational space into something much easier to govern and scale.

I direct the gameplay loops, visual identity, economy design, progression systems, and live operations, while also steering the technical backbone across Python, Django, PostgreSQL, Node.js, and Phaser. I lead creative reviews, own the product vision, and help keep weekly shipping sustainable.

The platform grew into a living product with 50+ shipped interactive titles and 2,500+ daily active users. Seasonal events, limited-time activations, and world-driven narrative beats gave the experience a reason to feel alive instead of static.

The bot used Azure Bot Framework, Node.js, and natural-language processing to interpret guest intent and surface availability across a high-volume dining workflow. The point was not novelty for novelty's sake, but a smoother entry point into an experience people already wanted.

It was recognized in two consecutive innovation competitions because it showed how conversational AI could reduce friction in a practical, guest-facing scenario instead of feeling abstract or bolted on.

I engineered a Slack-integrated monitoring system using AWS Lambda, Node.js, AWS Secrets Manager, and CloudWatch. It watches health checks across a large fleet and routes structured notifications into the on-call flow without making people dig through tooling first.

The result was less manual checking, faster awareness during issues, and a lighter war-room footprint when incidents hit. The system helped shift support from reactive spotting to more proactive response.

While leading major incident response across 100+ business-critical applications, I built a browser-based communications helper that templated impact summaries on the fly. It gave responders a cleaner way to generate executive-ready language without reinventing the message during peak stress.

It saved time, but more importantly it reduced cognitive load in high-pressure moments. That meant faster briefings, more consistent messaging, and a little more room for the incident lead to focus on resolution instead of wording.

I teach full-stack web development, cybersecurity Python, and machine learning and NLP topics, but a big part of the work was restructuring how the learning experience felt. I rebuilt fragmented coding exercises around a fictional company narrative so students could connect assignments to a more believable product arc.

That shift made the material feel less like isolated homework and more like real-world problem solving. I also modernized the labs to include AI-assisted workflows that reflect how people actually build, debug, and learn now.