I turn ideas into working products.
AI-assisted development, product strategy, UX, experimentation, and enough curiosity to keep building things I probably didn't need to build.
Builder, thinker, and proud multipotentialite.
For as long as I can remember, I've been building things. Websites, businesses, products, experiments. If an idea feels possible, I usually want to find out whether I can make it real.
I've never been a one-track person. My background runs through small business ownership, corrections, customer-facing and gig work, AI evaluation and task design, and product building. Today I'm pursuing a Bachelor of Science in Computer Science at Yavapai College while building and shipping products with AI-assisted development workflows.
My AI work includes evaluating model outputs, designing and refining tasks and rubrics, analyzing failure modes, and structured QA across reasoning, coding, and artifact-based work.
I know enough code to get my hands dirty, and I'm actively learning more. My strongest skill is taking an idea from "what if?" to something that works by combining product strategy, UX, systems thinking, testing, troubleshooting, experimentation, and effective use of AI. The range is a feature, not a bug.
"Dr. Mixer" has followed me since I was 19. My wife's oldest daughter couldn't quite say my last name, combined it with the "Dr." title she kept hearing at church, and it stuck. Twenty-plus years later, here we are.
LaunchReel turns a product into a launch page, vertical launch reel, shareable assets, and measurable distribution. I built product workflows, reusable video systems, analytics, and automated media selection and evaluation pipelines behind it.
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A developer recruiting marketplace built around real work instead of resume keywords. Used by real developers and recruiters, with GitHub-based evidence, discovery and matching, recruiter workflows, job sharing, profile scoring, and acquisition systems.
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An LLM-driven civilization simulation with 50 autonomous agents. I designed the agent architecture, prompting, interaction systems, and evaluation criteria to study how social structures and emergent behavior develop at scale.
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A consumer fashion app centered on AI-powered virtual try-on, outfit saving, and private peer feedback. I built the product around a focused loop: add your photo, choose real clothing, create a realistic try-on, save the look, and get feedback.
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A family-first home-learning product pairing an adaptive AI tutor for K-12 students with calm, useful parent oversight. It brings together learner progress, lessons, goals, assignments, family dashboards, and curriculum systems in one experience.
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