Carlos Ramón Campo

Carlos Ramón Campo

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AI, automation, and product 15+ Years Engineering Airbus · Santander · Accenture Elche, Spain

Why IliciLabs exists

Quality apps, useful automation, and real product thinking

After years building complex systems for larger teams, IliciLabs became my personal lab for spotting real friction, designing useful automations, and turning productivity improvements into high-quality apps and sellable software.

AI process automation for companies

From repetitive processes to human-controlled workflows

My specialty is spotting real bottlenecks, separating what should be automated from what needs judgment, and designing systems with AI, agents, RAG, traceability, and human checkpoints. The same discipline guides IliciLabs products for accessibility and personal autonomy.

cat README.md

## About Me

I am Carlos Ramón Campo, a computer engineer and product-minded technical leader with 15+ years of experience across frontend architecture, AI implementation, and software delivery.

My best work usually starts by finding friction that wastes time, money, or focus. Through IliciLabs, I turn those bottlenecks into high-quality apps, automations, and AI-agent workflows that improve productivity, unlock new revenue, and make digital work feel lighter.

### Core Value Proposition

Strategic Vision: I connect product instinct, technical depth, and business sense to identify profitable improvement opportunities quickly.

Critical Engineering: Background in Aeronautics (Airbus) & Fintech (Santander). High-performance systems where precision & security are non-negotiable.

Team Captain: IliciLabs is my lab for shipping polished software, testing automation ideas, and turning useful systems into quality apps people actually want to use.

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$ git log --graph --oneline

Experience Log

commit a3f7c2d (HEAD -> career)

Date: 2023 — Present

Principal Frontend Architect & AI Lead

Blue Code · Tech & Feel

Driving the "AI-First" transformation integrating advanced Front-End architectures with Generative AI. RAG, Fine-Tuning & LLM Engineering in production. Micro-Frontend ecosystem with Module Federation.

Angular 17+ Signals Module Federation GenAI RAG LangChain
commit e8b1f4a (fintech/santander)

Date: 2021 — 2023

Frontend Engineering Lead

Accenture → Banco Santander

Architecture & team leadership in regulated banking environment. Managing 8 developers, banking security (JWT, OAuth2), technical governance with SonarQube.

Angular TypeScript OAuth2 SonarQube Team Lead
commit c5d9e3b (aero/airbus)

Date: 2020 — 2021

Lead Architect — Aeronautics

Accenture → Airbus

Real-time telemetry system for aircraft sensors. 3D visualization with WebGL, millions of data points via WebSockets & Web Workers.

Angular WebGL Three.js WebSockets Python
commit f2a8d1c (dev/frontend)

Date: 2018 — 2020

Frontend Developer

GFI Software → Nouss Intelligence

Frontend development with Angular, .NET MVC, JavaScript. Migration of legacy apps to modern architectures.

Angular JavaScript .NET Kendo UI
commit b7c4e9f (erp/dynamics)

Date: 2016 — 2018

Technical Microsoft Dynamics NAV

Bitec (Business Intelligence Technology)

Technical development in Microsoft Dynamics NAV. Business Intelligence & enterprise ERP solutions.

Dynamics NAV ERP Business Intelligence

$ htop --sort-key=PERCENT_CPU

Skills Monitor

Frontend Architecture

Angular 17+ (Signals) 95%
TypeScript 92%
Module Federation 88%
RxJS / Reactive 85%

AI & ML Engineering

Generative AI / LLMs 90%
RAG Architectures 88%
Python / LangChain 82%
Fine-Tuning & Training 78%

Leadership & Strategy

Team Leadership 95%
Architecture Design 92%
AI Strategy 88%
CI/CD Governance 85%

Tools & Platforms

Git / GitFlow 90%
WebGL / Three.js 80%
SonarQube 85%
Agile / Scrum 90%

$ ssh connect@carlos | Konami Code

Let's Connect

Always open to talk about AI, frontend architecture, or new collaborations.

ACCESS GRANTED

AI, automation, and productivity

How I think about applying AI to products, teams, and real operations

Identify repetitive workflows where automation can remove waste without hiding risk.
Document practical AI patterns that fit real product and operations needs.
Use IliciLabs products as proof that friction can become useful tools, assistants, and workflows.

See what I'm building

IliciLabs is the natural continuation of years of architecture, product thinking, and applied AI focused on real problems.

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