01 — Strategy
AI Strategy & Fractional CTO
Technical direction, architecture, and the security & compliance foundation for AI you're betting the company on. Senior judgment, on call.
AI Engineering Studio
Artesano is the practice of Miguel Alvarado — VP of Engineering, 2× CTO. I architect and build the AI systems founders bet their companies on: multi-agent platforms, real-time voice, and the evals and guardrails that make them hold up in production.
Five ways to put senior, hands-on AI engineering to work — from setting direction to writing the system itself.
01 — Strategy
Technical direction, architecture, and the security & compliance foundation for AI you're betting the company on. Senior judgment, on call.
02 — Build
Production multi-agent systems, RAG, and real-time voice — architected and written by hand across the stack. Shipped, not slideware.
03 — Velocity
Industrialize your SDLC with coding agents that drive red/green TDD against real test harnesses. Ship in days, not quarters.
04 — Trust
Canonical eval suites that catch agent regressions before release, and guardrails that provably constrain LLM output — regulated-grade.
05 — Scale
Experimentation culture, monolith-to-services, and teams upskilled to build with AI. Velocity that compounds across the org.
Engagements anonymized for confidentiality — the outcomes are real.
Salesforce → Agentic
Replaced a national company's legacy Salesforce deployment with a home-grown, AI-first agentic platform — multi-agent assistant over a 9-service backend with exactly-once enterprise data sync.
~64% better
Built a production ML model that beat a paid vendor by ~64% on dollar accuracy, at sub-5ms inference on 3M+ records.
Provably safe
Designed guardrails that make it structurally impossible for an LLM to paraphrase regulated clinical content — auditable end to end.
18 agents
Stood up a production AI agent platform on LangGraph, Temporal, and LiveKit, with a built-in evaluation framework treated as first-class infrastructure.
I've shipped software for thirty years — the early web at Microsoft, streaming at Brightcove through its IPO, platform scale at Intel and Verizon. About twelve years ago I went all-in on data and AI: machine learning at Vevo and Lumiata, digital biomarkers at Mindstrong, and production LLM agents as VP of Engineering at SonderMind.
Two-time CTO. I lead engineering organizations — and I still write the code. Artesano is where I bring that to founders: the rare combination of someone who can set the strategy and architect the system, then sit down and build it.
The name means artisan. That's the whole idea — AI built with care, rigor, and a maker's hand.
Tell me what you're trying to build. If it's a fit, we'll find the fastest path to a working system.
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