An AI product engineer who ships the whole feature

I am an AI product engineer with 4+ years building production systems in Python, TypeScript, PHP, and React. I build LLM features and the product around them: the backend, the real-time UI, the payments, and the deploy. I am most useful on work that crosses boundaries: a feature that needs a new table, a broadcast channel, two frontends, and a deploy. I take the feature to production and make sure it keeps working there.

AI shows up in my work in three ways. I build products that run on it: the DUBTEL AI backend manages voice agents, their prompts, and their phone numbers, I integrated an AI tutor into the student app, and I built a Gemini pipeline with Google Search grounding that finds public business contacts for the sales team. I run LLM pipelines myself: the JD Analyzer on this site, tuned to my own job search, does structured extraction, scoring, and evidence-cited risk flags, with evals that check the flags. And I use AI coding tools every day, deliberately. I review everything they write, and each goes through the same type checks, tests, and code review as anything else. I've added test suites to codebases that had none, and I brought the student app's code duplication under a 5% limit, then lowered the limit to match. Moving faster only matters if the code still holds up after merge.