Miguel Alvarez

I'm Miguel Alvarez, a Front-End Engineer specializing in the React, Next.js, and TypeScript ecosystem. I build high-performance, accessible digital products — from pixel-perfect interfaces to scalable Design Systems — with a focus on Core Web Vitals, clean architecture, and production-grade observability.

My background spans independent client work, AI model training at Outlier, and certifications across the full frontend stack — including GraphQL/Apollo, MongoDB, and Algorithms & Data Structures. I own the full lifecycle: from client discovery and Figma prototyping to CI/CD deployment and Sentry monitoring.

Currently pursuing remote frontend and AI-adjacent roles where technical depth, design sensibility, and product ownership matter.

Resume
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My stack

ReactReactReactReactReactReactReactReactReactReactReactReactReactReactReact
Next.JSNext.JSNext.JSNext.JSNext.JSNext.JSNext.JSNext.JSNext.JSNext.JSNext.JSNext.JSNext.JSNext.JSNext.JS
GSAPGSAPGSAPGSAPGSAPGSAPGSAPGSAPGSAPGSAPGSAPGSAPGSAPGSAPGSAP
TailwindTailwindTailwindTailwindTailwindTailwindTailwindTailwindTailwindTailwindTailwindTailwindTailwindTailwindTailwind
TypescriptTypescriptTypescriptTypescriptTypescriptTypescriptTypescriptTypescriptTypescriptTypescriptTypescriptTypescriptTypescriptTypescriptTypescript

Experience

Lead Front-End Engineer

February 2024 - Present / Independent Contractor
  • Owned end-to-end project lifecycle: client discovery, Figma design system, Next.js implementation, and Vercel deployment.
  • Built modular Design Systems in Figma translated into Tailwind CSS component libraries — estimated 30% reduction in future UI development time.
  • Achieved 90+ Lighthouse scores across Performance, Accessibility, and SEO on all delivered projects.
  • Integrated Prismic headless CMS for content autonomy; Sentry for real-time error monitoring; OWASP security principles throughout.
  • Automated vulnerability scanning via GitHub Actions (CodeQL, Dependabot, ESLint) and Snyk for 100% clean code compliance.

AI Trainer — Frontend Specialist

April 2024 - January 2025 / Outlier
  • Evaluated and debugged AI-generated frontend code (JS, TS, HTML/CSS) against algorithmic efficiency, performance, and modern web standards.
  • Provided structured human feedback and model output ranking to fine-tune large language models for frontend code generation.
  • Resolved complex architectural blockers via daily syncs; built a knowledge base that streamlined contributor onboarding and reduced repeated blockers.

Education

Introduction to Front-End Development

November 2023 / Coursera - Meta

Meta certification

Programming with Javascript

November 2023 / Coursera - Meta

Meta certification

React Basics

November 2023 / Coursera - Meta

Meta certification

Principles of design.

November 2023 / Coursera - Meta

Meta certification

Version Control

November 2023 / Coursera - Meta

Meta certification

Mastering Algorithms & Data Structures in JS

Octuber 2024 / CodeSignal

Introduction to Typescript for Beginners

Jun 2025 / CodeSignal

GraphQL with Apollo Server 4 + TypeScript

Jun 2025 / CodeSignal

MongoDB Node.js Developer Path

Jun 2025 / MongoDB University