Discover
Clarify the problem before touching code
I sit with stakeholders to nail outcomes, constraints, and what “done” means—so scope stays honest and we’re not building the wrong thing elegantly.

Method
How I turn fuzzy requirements into software teams can rely on—scoped, tested, observable, and AI-augmented where it pays off.
Impact
Two sides of the same craft—shipping products that move the needle, wiring AI where it accelerates delivery, and joining teams as someone who owns brief → production.
Teams don’t need more tools—they need clearer shipping, and AI that fits the product.
I help businesses move from idea to production—and wire LLMs where they cut real work.
And I help employers hire a full stack & AI builder who owns the outcome end to end.
Two audiences. One craft.
For businesses
Narrow scope, fast slices, and AI where it cuts calendar time—so you learn from real users instead of polishing a deck.
Clear boundaries, reviewable increments, and APIs your team can extend—without betting the roadmap on a rewrite.
Performance, SEO, auth, and CI/CD baked in so production stays stable while you iterate on what customers actually need.
For employers
React/Next through Nest and data layers—plus LLM features (chat, automation, retrieval) so AI work doesn’t stall as a side experiment.
Core Web Vitals, SEO, and durable integrations—experiences that hold up after launch when real volume shows up.
Discovery, phased plans, mentoring where it helps, and reviews/tests that keep releases boring and trustworthy.
Stack
What I lean on daily to ship: clear interfaces, solid APIs, measurable performance—and LLM tooling when it earns a place in the product.
Frontend
Backend
AI / LLM Integration
DevOps & Cloud
Databases
Tools