About Me

Who I Am

I'm an Information Technology student at Florida State University focused on systems consulting and AI implementation. My core interest is understanding how organizations' existing systems actually work (the architecture, the dependencies, the friction points) and then identifying where AI and automation can create real, measurable efficiency gains without unnecessary disruption.

I'm not interested in AI as a buzzword. I'm interested in it as a practical tool: what does it take to get a language model working reliably inside a real workflow? Where does automation create durable value and where does it create new problems? Those are the questions I find genuinely compelling.

My Approach

• Systems-first: Understand the architecture before proposing any change. Map the components, the dependencies, the failure modes.
• AI as implementation, not decoration: I build with AI tools (RAG pipelines, LLM integrations, automation scripts) to develop real production intuition, not just theoretical awareness.
• Consulting mindset: Every technical decision needs to connect to a business outcome. Architecture choices that can't be explained in plain terms usually haven't been thought through clearly enough.
• Measurable outcomes: Efficiency gains that can't be measured aren't gains: they're assumptions. I design for results that are visible and trackable.

Why Systems + AI

Most organizations don't need entirely new systems: they need their existing ones to work better. AI and automation are the most powerful levers available for that right now, but deploying them well requires understanding the system you're augmenting. That combination of deep systems knowledge and practical AI implementation skill is what I'm building toward.