AI, Used with Judgment

Everyone's resume now says "uses AI." Here is what mine actually means — and what it deliberately doesn't claim.

How I use it, daily

AI assistants (including Claude) are part of my working method for data analysis — reviewing and sanity-checking SQL, profiling unfamiliar datasets, reasoning through reconciliation discrepancies — and for technical research and evaluation: comparing approaches, pressure-testing plans, accelerating the unfamiliar. The productivity gain is real and I'd bring the practice to any team.

Why "with judgment" isn't a filler phrase

I studied artificial intelligence and expert systems in my degree and completed a 2026 data-science program covering the machine-learning foundations — training, evaluation, and the statistics underneath, including how neural networks actually learn. That grounding changes how you use these tools: you understand they are pattern-completers without ground truth, so you verify what matters, you never paste in confidential data, and you treat confident-sounding output as a draft, not an answer. The skill of the next decade isn't prompting — it's knowing when the machine is wrong.

What I don't claim

I'm not an ML engineer and don't build or fine-tune models professionally. The claim is narrower and more useful: a veteran practitioner who has genuinely integrated AI into daily analytical work, with enough theory to supervise it properly.