Four products in the past year, each starting with a problem I experienced or saw firsthand
Lubbock Coolers is the one with direct revenue. I own product strategy, customer experience, and operations end to end, including the storefront, a 3D configurator that lets customers preview their artwork before paying, per-panel pricing, and a dashboard that tracks conversion and drop-off at each step. I’ve sold 14 units so far, and every change since launch has come from customer feedback and funnel data
I’m a senior at Texas Tech University studying psychological sciences where I study human factors in Human-Computer/AI teams. That background contributes heavily in shaping how I build products, which starts with understanding the user, then using data to figure out next steps.
I scoped the other three projects using the same approach. Weekender crowdsources what college group trips actually cost per person, using a two-field submission form and a five-stage funnel. LabMatch helps students find relevant research labs based on plain-language interests, shows why each lab was matched, and includes moderated anonymous reviews based on other research assistant's previous experience. The Psi Chi app replaced a manual process I was responsible for running by routing each point submission to the appropriate officer chair and requiring photo proof.
Poster presentation, TTU Undergraduate Research Conference, April 2026. Analyzed a 170-participant, 85-team study and found team-based similarity significantly exceeded role-based similarity (p < .001), informing whether collaborative tools should be designed at the team or role level.
Co-author, TTU Undergraduate Research Conference, April 2026. Analyzed trust survey data (TAS, HAIQ) across a three-agent human-AI team and found trust remained stable across roles and consistent over time.