Available for full-time and contract roles

AI-focused full-stack engineer building systems that think, ship, and scale.

I am Pedro "Axefield" de Castro Davila, a TypeScript-first systems builder connecting LLM tooling, Node.js platforms, automation workflows, dashboards, UX-centered interfaces, and creative technology into usable products.

20+ yrsUX and systems thinking
TypeScript-firstFull-stack product engineering
AI toolingLLMs, MCP, local model workflows
End to endIdea, architecture, UI, backend, deploy

What I build

Practical systems across AI, product engineering, UX, and creative technology.

The through-line is turning ambiguous technical possibilities into working interfaces, workflows, and platforms.

AI Product Engineering

LLM workflows, AI-assisted tools, MCP integrations, local model experiments, custom memory concepts, and reasoning systems.

Full-Stack Development

TypeScript, Node.js, Express services, REST APIs, dashboards, frontend interfaces, auth flows, and SaaS-style tools.

UX Engineering

User flows, interface clarity, design implementation, conversion paths, performance, accessibility, and product polish.

Automation And Data Systems

Workflow automation, trading dashboard concepts, data pipelines, signal surfaces, internal tools, and operational systems.

Creative Technology

Unreal Engine experiments, interactive worlds, narrative IP systems, AI media generation, and game-adjacent production tools.

Platform Operations

WordPress, Shopify, CMS/CRM/SaaS management, technical SEO, page speed, backups, integrations, and client-ready delivery.

Proof map

Work organized as systems, not buzzwords.

Each case study is framed so a hiring team can see the problem, architecture, tradeoffs, quality bar, deployment path, and product value behind the code.

Engineering evidence

Hands-on coding tied to systems, reliability, and product outcomes.

I want interviewers to find the concrete work quickly: languages mapped to systems, systems mapped to technical problems, and technical problems mapped to delivery outcomes.

TypeScript / Node.js

Built the Truligon platform surface: Express routing, subdomain handling, admin/auth flows, dashboard concepts, Vite build outputs, and production-facing static delivery.

Python Automation

Used Python for Mythogon configuration, research, PDF/protection utilities, and AI workflow support where repeatable scripts reduce manual setup and validation work.

SQL And Data Systems

Worked with Prisma, SQLite, schema-backed services, dashboard data concepts, and reasoning or memory stores that need clear data boundaries and maintainable access paths.

C++ Systems

Developed Mythogon as a CMake-based C++ system with decision-engine headers, server modules, protobuf/gRPC examples, shader experiments, and performance-oriented architecture notes.

Quality And Testing

Use TypeScript checks, frontend builds, generated-page parse fixes, accessibility scans, code review habits, and explicit route verification to keep changes maintainable.

Reliability And Deployment

Maintain Cloudflare tunnel routing, subdomain configs, static asset paths, canonical pages, and production recovery steps so shipped surfaces stay reachable and debuggable.

Company fit

Where I create leverage.

AI product teams

I can connect LLM capabilities to usable product surfaces, tool workflows, and internal automation.

SaaS and startups

I can prototype across frontend, backend, APIs, dashboards, onboarding flows, and product UX without waiting on perfect specs.

Agencies and ecommerce

I bring practical delivery experience across WordPress, Shopify, technical SEO, page speed, CMS operations, and client-facing UX.

Game and creative tech studios

I bridge systems design, AI tools, Unreal workflows, storytelling, interactive media, and production tooling.

Hiring packet

Resume, proof, and contact are all one click away.

I am currently focused on roles in AI engineering, full-stack TypeScript development, LLM tooling, UX engineering, automation, and creative technology.