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Carlos Anaya Ruíz — Technical SEO Consultant and professional full-stack developer

Carlos Anaya Ruíz

Technical SEO · Next.js · Firebase · AI · Dashboards

Software engineer & technical SEO consultant. I build fast, indexable, high-converting websites — with Next.js, Firebase, AI, and structured data.

Services

Engineering & technical SEO solutions to scale your digital business

Modern Web Apps with Next.js & Firebase

Fast, indexable, modern web application development

I build high-performance web applications with Next.js and Firebase — optimized for technical SEO, Core Web Vitals, and scalability. From landing pages to full SaaS platforms with SSR/ISR, authentication, and real-time database.

Key benefits

  • Lighthouse 90+ scores in performance, SEO, and accessibility
  • SSR/ISR for instant indexation and always-fresh content
  • Serverless backend with Firebase: Firestore, Auth, Functions & Hosting
What's included
  • Information architecture and wireframes
  • Frontend development with Next.js App Router + TypeScript
  • Firebase integration (Firestore, Auth, Cloud Functions)
  • Technical SEO: sitemap, robots, hreflang, Schema JSON-LD
  • Core Web Vitals and performance optimization
  • Vercel deployment with CI/CD configured

AI Automation & Chatbots

Intelligent chatbots and AI-powered process automation

I create AI automation solutions for your business: chatbots powered by LLMs (GPT, Gemini), automated workflows, API integrations, and intelligent processing systems that reduce operational costs and improve customer experience.

Key benefits

  • Context-aware chatbots that understand your business
  • Secure integration with your existing systems (CRM, ERP, APIs)
  • Measurable operational ROI: less manual work, more efficiency
What's included
  • Automatable process analysis and feasibility study
  • Conversational flow and dynamic prompt design
  • Chatbot development with LLM integration (GPT/Gemini)
  • Integration with APIs and internal systems
  • Monitoring dashboard and usage metrics
  • Technical documentation and training

Responsive Dashboards

Interactive, data-driven dashboards for your platform

I design and develop responsive dashboards that turn data into decisions. Clean interfaces, interactive visualizations, and performance-optimized architecture — connected to your data sources in real time.

Key benefits

  • Clear data visualization with interactive charts
  • Responsive design that works on any device
  • Real-time connection to your data sources (APIs, SQL, Firebase)
What's included
  • Data source audit and requirements gathering
  • Dashboard UX/UI design with wireframes
  • Frontend development with React/Next.js and charting libraries
  • Integration with APIs, databases, and cloud services
  • Performance optimization and data loading
  • Responsive design and cross-browser testing

Frequently asked questions

How long does it take to build a web app with Next.js?

It depends on complexity. An optimized landing page can be ready in 1-2 weeks. A platform with authentication, dashboard, and database takes 4-8 weeks. I always start with a technical audit to define scope and deliverables.

Why Next.js and not another framework?

Next.js offers the best combination of performance, SEO, and developer experience. Its hybrid rendering system (SSR/SSG/ISR) ensures each page is served in the most efficient way for Google and users. Plus, its ecosystem with Vercel guarantees fast, reliable deployments.

Can you migrate my current site to Next.js?

Yes. I handle migrations from WordPress, React SPAs, Angular, and other frameworks. The process includes a pre-migration SEO audit, URL mapping, 301 redirects, and post-migration validation to preserve organic rankings.

Can the chatbot connect with my CRM or database?

Yes. I design integrations with HubSpot, Salesforce, Firestore, PostgreSQL, and REST/GraphQL APIs. The chatbot can query and write data to your systems securely.

How secure is the implementation?

Security is a design principle, not an add-on. I implement JWT authentication, input sanitization, rate limiting, and sensitive information is never sent directly to the LLM without preprocessing.

How much does it cost to maintain an AI chatbot?

Operational costs depend on conversation volume and the AI model used. I design architectures that optimize token usage with caching and precomputed responses to keep costs low without sacrificing quality.

What visualization libraries do you use?

I work with Recharts, D3.js, Chart.js, and Plotly depending on project needs. For BI dashboards I also have experience with Power BI and DAX for complex queries.

Can the dashboard consume real-time data?

Yes. I implement WebSocket connections, Firestore real-time listeners, and optimized polling. The architecture is designed so data updates without page reloads.

Can I add new metrics later?

Absolutely. I design dashboards with modular architecture: adding new cards, charts, or sections is as simple as configuring a new component. The data structure is extensible by design.

My Work Process

Proven methodology for measurable results

01

Audit

Deep technical analysis of your site, performance, SEO, and improvement opportunities.

02

Strategy

Architecture definition, priorities, and roadmap with clear deliverables.

03

Implementation

Iterative development with sprints, code reviews, and continuous QA.

04

Measurement

Metrics tracking, Core Web Vitals, rankings, and conversions.

Stack & Specialties

Languages & Backend

Python
Go
Rust
C#/.NET
Java
TypeScript
Node.js
Django
FastAPI

Frontend & Mobile

React
Next.js
Angular
Vue.js
Svelte
Swift (UIKit)
Kotlin (Jetpack)

Databases & Data

PostgreSQL
MongoDB
MySQL
Redis
GraphQL
Power BI
DAX
Pandas
ETL

Cloud & DevOps

AWS
Azure
GCP
Firebase
Docker
Kubernetes
Terraform
Jenkins
Git
CI/CD

AI & Machine Learning

TensorFlow
PyTorch
Scikit-learn
Keras
LLM Integration (GPT, Gemini)

Management & Methodologies

Jira
Confluence
MS Project
Asana
Scrum
Kanban
PMBOK
Lean

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