About Me
Who I am, what I do, and the questions decision-makers ask before working with me.
? FREQUENTLY ASKED _
Clear answers for technical decision-makers, hiring teams, and companies evaluating AI systems.
1What is VazquezDev?
VazquezDev is Adrian Vazquez's practice for applied AI: RAG architectures, autonomous AI agents, MCP server development, and the enterprise automation that puts them to work on real business processes. The goal is straightforward — integrate AI successfully into a company's operations so it becomes more productive, saves cost and time, and performs better overall. Cloud or self-hosted, shaped by your security and compliance requirements.
2Where is VazquezDev based, and can systems run on our own infrastructure?
Adrian Vazquez is based in Barcelona, Spain, and works with clients worldwide, remote-first by default. Deployment is flexible — private servers, VPS, or your own company environment — when data residency or compliance rules out the public cloud.
3What happens after deployment — who maintains the system?
Every system ships with documentation and a structured handover. Adrian remains available afterward for maintenance, monitoring, and iteration under a support agreement, since agentic systems require ongoing tuning as usage and data evolve.
4Why work with a solo specialist instead of an agency?
A single point of ownership across the entire system, with no handoffs between a sales team, a project manager, and the engineer implementing the work. Adrian designs, builds, and deploys directly, which shortens iteration cycles and keeps accountability clear.
5How to contact Adrian Vazquez?
Reach out directly via LinkedIn (Adrian Vazquez), try Cortex AI at brain.vazquezdev.pro, or email adrianvazvaz.2117@gmail.com.
6Is this portfolio aimed at hiring or consulting?
Hiring-first, but open to both. It demonstrates the technical depth and production judgment of someone who can own AI systems inside an engineering team — available as a full-time hire, a contractor, or for standalone consulting projects.
7How long does it take to deploy an agentic AI system?
A production-ready agentic system (e.g. lead qualification or support triage) typically deploys in 2–4 weeks from kickoff. Timeline depends on data access, CRM integrations, and approval workflows. First working prototype often ships within 1–2 weeks; the rest is hardening, guardrails, and handover.
8What makes Adrian different from a prompt engineer?
He owns the whole system: architecture, backend, orchestration, vector storage, deployment, privacy constraints, and interface. The focus is not prompts in isolation; it is production AI infrastructure that users can actually rely on.