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Yandre Galindo / Skills & Evolution

Skills
& evolution.

Strategy that becomes systems.
Learning that becomes practice.

01 / Skills & Evolution

Professional Evolution

From growth strategy to product thinking: three months of professional evolution. A career connecting communication, business, content and technology.

From a growth objective to the system that makes it possible.

My professional evolution extends my marketing focus into product decisions: which problem to solve, how to turn it into requirements, which rules editorial operations need, and how to validate an implementation before releasing it to production.

At CineMedios, this approach takes shape through editorial experiences, content selection criteria and tools for running the site. My contribution combines problem definition, prioritization, implementation direction and functional validation.

AI-assisted technical work. Code implementations are developed and reviewed with AI support. This experience demonstrates practical involvement and product judgment; the level of technical independence is distinguished for each competency.

02 / Skills & Evolution

Core Competencies

Three levels of evidence. These categories describe the scope of experience; they are not scores or certifications.

Established

Strategy & growth

Growth strategy and performance marketing, content strategy, audience development and editorial coordination. Competencies supported by my professional experience and portfolio case studies.

Practical experience

Product & web operations

Defining editorial rules, functional requirements, change reviews, quality assurance and the evolution of a WordPress theme. AI-assisted implementation of HTML, CSS, PHP and JavaScript.

In development

Technical depth

Greater independence in reading, debugging and maintaining code; test design and integration assessment. Product thinking as a practice I continue to develop through real problems.

03 / Skills & Evolution

Technology & Tools

Tools and technologies linked to verifiable work. This portfolio and CineMedios use different technologies for different purposes.

Technology, application and scope of experience
TechnologyApplicationLevel & scope
HTML · CSS · JavaScriptStatic portfolio and web experiences.AI-assisted practice: implementation, adjustments and functional review.
WordPress · PHPCineMedios editorial theme and publishing controls.AI-assisted practice: requirements, iterations and validation.
Git · GitHub · ActionsVersion control, pull requests and the theme deployment workflow.Practical experience in change reviews, version control and publishing.
Technical SEO · structured dataMetadata, crawlability and content presentation.Established strategy; assisted technical implementation. An integrated approach to SEO, GEO and AEO.
WordPress · Make · GeminiIntegration of the GK-1 conversational assistant into CineMedios.Practical experience: design, integration and production deployment with AI assistance.
Generative AIAssistance with implementation, review and documentation.Applied use under human direction and review.
04 / Skills & Evolution

Evolution Timeline

August–October 2026. A view of professional evolution based on the period assessment; October technical milestones are supported by reviewed change records.

  1. August 2026

    Editorial operations

    Assessment focus: content, audiences and editorial optimization. Marketing and communication experience define the starting point.

  2. September 2026

    Architecture & visibility

    Assessment focus: web structure and technical SEO. The portfolio connects my profile, case studies, metadata and content for search engines.

  3. October 2026

    Rules & product

    22 pull requests merged into the CineMedios theme during October, covering the homepage, editorial operations, technical SEO and deployment. This is a measure of activity, not commercial impact.

05 / Skills & Evolution

Applied Projects

Concrete applications of product judgment. Technical evidence was reviewed in the private CineMedios repository; public links provide project context.

CineMedios · October

Dynamic homepage

Problem: balancing freshness and readership when selecting the lead story.

Application: a five-hour window, a 20-view threshold and fallback rules. My role: editorial criteria, requirements and validation; AI-assisted code.

CineMedios · October

Live content operations

Problem: controlling live stream notices and links through the editorial workflow.

Application: page-level controls and a YouTube field. My role: functional definition and workflow review; AI-assisted implementation.

CineMedios · October

Consistent metadata

Problem: avoiding duplicate meta descriptions from the theme and Jetpack.

Application: clarifying responsibility for outputting metadata. My role: SEO judgment and validation; AI-assisted technical adjustment.

Development background / Applied artificial intelligence

GK-1 · Assistants for CineMedios

Development objective: bring CineMedios editorial judgment and voice into editorial assistance and recommendations for films, series, video games, anime, documentaries and music in Spanish.

Product design

Historical documentation covers a family of editorial assistants and an audience-facing conversational experience. The work includes defining purpose, tone, instructions and use cases. A later proposal distinguished Geeky-1 as the public experience and GK-1 as the private operational assistant.

My involvement: purpose definition, instruction and conversational experience design, integration and production deployment with AI assistance.

Technology & tools

Implemented architecture: floating conversational component in WordPress → automated entry point in Make → Gemini model → response on the site.

Interaction flow: message and page context sent to the automation workflow; a text response returned to the component.

Planned features: page context, connection to the CineMedios catalog and reviews, interaction logging, moderation and usage limits.

Project status: deployed to production. GK-1 integrates WordPress, Make and Gemini to connect the conversational experience with AI assistance.

Web quality / Diagnosis & continuous improvement

Performance, accessibility and a website that people and agents can understand.

At CineMedios, I led the replacement of the template with a custom interface and codebase, with AI-assisted implementation. I integrate technical quality into editorial and product decisions: identify friction, prioritize changes, validate functionality and measure again. The work connects speed, visual stability, navigation, best practices and content discovery.

Before and after implementation · scores out of 100, except agentic browsing
DimensionMobile · beforeMobile · afterDesktop · after
Performance399691
Accessibility929591
Best Practices77100100
SEO100100100
Agentic browsing1/23/33/3

Source: supplied CineMedios diagnostics. The first screenshot shows mobile before the improvements; the second shows mobile after implementation and the replacement of the template with a custom interface and codebase. The third shows the subsequent desktop result.

Performance

Evaluates the loading experience in a lab test. My approach combines appropriately sized images, priority for the main content, CSS and JavaScript review, caching and control of third-party resources. The portfolio uses WebP images and prioritizes the main image; CineMedios work includes theme changes and compatibility with caching and Jetpack Boost.

Accessibility

I work to make information and controls understandable and usable: a logical heading hierarchy, descriptive links, accessible names, keyboard navigation, visible focus, contrast and respect for reduced-motion preferences. This page incorporates these foundations in its structure and navigation.

Best Practices

This category covers browser-level technical best practices. I approach it as a quality review: secure resource loading, dependency behavior, runtime errors and compatibility. Specific report findings determine what to fix.

SEO

The technical foundation makes content easier to discover and interpret: crawlable HTML, titles and descriptions, canonical URLs, internal links, a sitemap and structured data consistent with the visible page. At yandregt.com, these elements work alongside language versions and professional case studies.

Core Web Vitals: validating the real experience.

Core Web Vitals describe loading, responsiveness and visual stability. I use lab diagnostics to identify problems and real-user data to assess the experience, separating mobile and desktop.

  • LCP: time until the main content appears. Reference target: ≤ 2.5 seconds.
  • INP: visual response to interactions. Reference target: ≤ 200 milliseconds.
  • CLS: unexpected content shifts. Reference target: ≤ 0.1.

These thresholds are assessed at the 75th percentile of real users, separating mobile and desktop. I complement lab diagnostics with field measurement to track loading, interaction and visual stability.

Agentic browsing

I work on interface readability for systems that need to recognize content, links and actions: semantic HTML, clear names, accessible states and layout stability. This portfolio includes link-based navigation, native controls, accessible labels and a summary in llms.txt.

After implementation, the agentic browsing audit records 3/3 checks on both mobile and desktop, compared with 1/2 in the earlier mobile record. The work connects semantic structure, accessibility and interface stability.

References: Core Web Vitals · Lighthouse accessibility scope · Agentic browsing audit.

Integrated method / Visibility & understanding

How I connect SEO, GEO and AEO.

I start from a shared foundation: useful, verifiable and accessible content within a clear architecture. I coordinate editorial strategy, technical implementation and measurement so each piece addresses a need and can be discovered, understood and consulted.

SEO · Search engines

Discover & index

Research search intent, organize topics and routes, develop internal links, and review crawling, indexing, metadata, structured data and page experience.

GEO · Generative systems

Understand & contextualize

Make entities, authorship, sources, dates and the scope of claims explicit. Help systems interpret information without losing context or confusing facts, opinions and objectives.

AEO · Answer engines

Answer clearly

Organize real questions, direct answers, definitions and evidence-based explanations. Use headings, lists and tables when they support understanding without fragmenting meaning.

  1. Diagnosis: connect audience needs, existing content, architecture and technical problems. Separate measured findings from hypotheses.
  2. Editorial design: define each piece's purpose, intent, structure, sources and authorship; connect related content.
  3. Implementation: translate requirements into templates, semantic HTML, metadata and structured data. Code development and review are AI-assisted.
  4. Validation: check navigation, visible content, markup consistency and behavior across devices; compare lab results with field data when available.
  5. Monitoring: review indexing and search results, referral visits and on-site behavior. Record generative mentions or citations separately from clicks, conversions and revenue.

Verifiable application: this portfolio integrates static HTML, titles and descriptions, canonical URLs, internal links, a sitemap, structured data and llms.txt. At CineMedios, fixing duplicate meta descriptions and evolving templates connects editorial operations with technical SEO.

Scope: understanding by AI systems is a design objective; appearance or citation in a generative answer requires its own evidence. llms.txt and structured data do not guarantee inclusion, citations or rankings.

Reference: Google's guide to generative AI search features. The approach maintains SEO fundamentals without presenting unsupported special requirements or results.

06 / Skills & Evolution

Continuous Learning

Learn through real problems, document decisions and make the scope of each implementation explicit.

What does AI-assisted practical experience mean?

Involvement in problem definition, requirements, iterations and validation of AI-assisted code. The level of programming independence should be assessed separately.

How is the evidence documented?

Through portfolio case studies and reviewed change records. Activity metrics are distinguished from business outcomes. Improvements in traffic, revenue or productivity are not attributed without measurement.

What is the educational foundation?

Communication (UNAM), an MBA (UNITEC), Coding, Programming and Web Development (DEV.F), and AI Executive (ISDI México), as listed in the portfolio.

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