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MGue95/README.md

About

Manager Online Marketing & CRM at ergoflix Group. I run the technical side of marketing and customer data — Salesforce platform work, the integrations between CRM, marketing automation and telephony, plus the web presence and tracking that feed them.

Ten years of web development behind it, so most of what I plan I can also build: Lightning Web Components and Apex on the CRM side, WordPress and PHP on the web side, TypeScript for tooling. Increasingly that includes LLM integrations — Claude in production workflows, and MCP servers that give agents controlled access to business systems.

Open To — collaboration on MCP and LLM tooling · Salesforce integration and automation topics · exchange on CRM and marketing automation architecture


Tech Stack

Languages languages sql
Frontend & CMS frontend oxygen builder vanilla js / css rankmath / yoast plesk / cpanel
Design & Video design lightroom capcut canva adobe firefly loom
Developer Tools tools
CRM & Platform salesforce apex lightning web components flow soql salesforce cli data loader trailhead make.com brevo heyflow matelso html e-mail templates
AI claude api model context protocol chatgpt gemini perplexity midjourney telli voico
Advertising google ads performance max microsoft ads meta ads youtube ads outbrain taboola merchant center amazon ads
Analytics & Tracking google analytics 4 google tag manager search console looker studio hotjar microsoft clarity google trends tag assistant power bi
SEO sistrix screaming frog pagespeed / lighthouse schema.org / rich results google business profile
Consent & Commerce borlabs consent usercentrics / cookiebot trusted shops shopify
Workflow clickup asana google workspace apps script microsoft teams notion granola

AI / ML Expertise

Domain Proficiency Details
LLM Application Engineering Advanced Production integrations against the Claude API — prompt design, structured output, server-side cooldowns and daily caps to keep cost predictable
Agent Tooling & MCP Advanced MCP servers in TypeScript that expose enterprise systems as typed, permission-scoped tools for LLM agents
AI in CRM Workflows Advanced LLM-generated record summaries surfaced natively in Salesforce via Named Credentials, with GDPR gating and field-level access control
Prompt Engineering Advanced Instruction design for deterministic business output — extraction, classification, summarisation, multilingual DE/FR/EN

Experience

Manager Online Marketing & CRM · ergoflix Group

Present

Responsible for the technical layer between marketing, sales and the systems behind them — Salesforce, marketing automation, web presence and tracking.

  • Salesforce platform work: Lightning Web Components, Apex, Flow automation, permission architecture, validated production deployments
  • Integrations across marketing automation, telephony, HR and ERP, including error monitoring and data quality tooling
  • LLM integrations in production — AI-generated record summaries in the CRM with cost guardrails and data protection gating
  • Web and campaign delivery: WordPress/Oxygen landing pages, tracking architecture, consent management, conversion measurement
  • Reporting: SOQL-based KPI reporting, GA4 and Looker Studio analysis

Salesforce Apex LWC Flow TypeScript PHP Python Make.com Brevo GA4 Google Ads WordPress


Certifications

Anthropic Education

ai fluency claude 101 claude code 101 claude code in action

All issued April 2026

Google Skillshop

google ads search ai powered performance google analytics

Issued April 2026 · valid through April 2027

HubSpot Academy

hubspot


GitHub Analytics

stats streak



top languages

GitHub Trophies

trophies

Contribution Activity

activity graph

Contribution Snake

snake animation

Current Focus

learning:
  - Salesforce platform depth: async patterns, scalable permission design
  - Agentic workflows: tool use, evaluation, guardrails

building:
  - MCP servers that expose business systems to LLM agents safely
  - AI-assisted workflows inside CRM records
  - Tracking and consent architecture that survives audits

exploring:
  - Cost and latency engineering for production LLM features
  - Privacy-preserving measurement and server-side tracking

Connect


"Systems earn trust in the edge cases, not the demo."

footer

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