Carlos Hernández Martínez

Hey, I'm Carlos

AI QA Engineer & Backend Developer

Computer Engineer specialized in Artificial Intelligence and Backend Development. Experience developing AI agents, enterprise testing frameworks, and Machine Learning models. Mindset oriented towards technical leadership and process optimization through intelligent automation.

Spanish · Native
English · B2 (Cambridge Certificate)

Work Experience

  1. •

    AI QA Engineer & Backend Developer

    Mercadona IT

    Development of Mercadona's proprietary testing framework for backend components, integrating quality analysis with SonarQube and automation through advanced Python scripts. Implementation of CI/CD pipelines in CloudBees with unit, integration, and mutation tests. Cross-functional collaboration with frontend (Angular) and backend (Python) teams to optimize architectures and accelerate development cycles for 2 months. Soon to be assigned to the AI code agent validation workflow, ensuring the reliability of generative AI systems in enterprise production.
  2. •

    Backend AI Engineer

    Urobora SL (AI Startup)

    Backend development in AI research startup focused on business automation through emerging technologies. Implementation of autonomous agents based on LLMs (GPT API, LM Studio), RAG systems (Retrieval-Augmented Generation), and Model Context Protocol (MCP). Microservices architecture in Python/FastAPI deployed on Google Cloud Platform with Kubernetes infrastructure and CI/CD pipelines. Collaboration in multicultural international team, contributing to cutting-edge technology stack in applied AI.

Featured Projects

Sales Prediction System with Machine Learning

Sales Prediction System with Machine Learning

In Progress
Python Scikit-learn XGBoost Machine Learning · Aprendizaje Automático
Development of complete ML pipeline for retail sales prediction (Walmart/Kaggle dataset). Exploration of multiple algorithms (Random Forest, XGBoost, Gradient Boosting) with hyperparameter optimization. Advanced feature engineering and time series analysis. Ongoing project focused on real-world applicability and scalability.
Medical Diagnosis System with Deep Learning - Bachelor's Thesis

Medical Diagnosis System with Deep Learning - Bachelor's Thesis

Python PyTorch TensorFlow Computer Vision · Visión Artificial Healthcare AI · IA en Salud
Bachelor's thesis project developing an automatic classification system for knee osteoarthritis using medical radiographs. Implementation of CNN architectures (ResNet, EfficientNet) with PyTorch and TensorFlow, achieving 80% accuracy in binary classification. Application of fine-tuning techniques, data augmentation, and cross-domain validation. Focus on real clinical utility and scalability of the assisted diagnosis system.
Neural Implicit Models for Robotics - TUM Research

Neural Implicit Models for Robotics - TUM Research

Python PyTorch Robotics · Robótica Research · Investigación Neural Networks · Redes Neuronales
Collaborative research at the Technical University of Munich (TUM) with KUKA Robotics. Development of implicit neural models for real-time collision detection in robotic manipulators. PyTorch implementation of swept volume models and optimization for efficient inference. Contribution to research paper at the intersection of Deep Learning and industrial robotics.

Tech Stack

🔧 Technical Skills

  • Python (Expert)
  • JavaScript / TypeScript
  • PyTorch & TensorFlow
  • LLMs & RAG Systems
  • GPT API & LM Studio
  • Model Context Protocol (MCP)
  • FastAPI & Microservices
  • Pytest & Testing Frameworks
  • Angular (Frontend Support)
  • SonarQube & Code Quality
  • Docker & Podman
  • Kubernetes & GKE
  • Google Cloud Platform
  • CI/CD (CloudBees, GitHub Actions, Jenkins)
  • Spinnaker
  • MySQL & MongoDB
  • Playwright & Postman
  • APIs REST
  • Prompt Engineering & Fine-tuning
  • Git & Version Control

💡 Professional Competencies

  • Technical leadership and mentoring
  • Strategic product vision
  • Cross-functional collaboration (Frontend, Backend, QA)
  • International technical communication
  • Analytical thinking and complex problem solving
  • Project management and prioritization
  • Continuous learning of emerging technologies
  • Adaptability in agile and startup environments

Academic Background

  1. •

    Bachelor's Degree in Computer Engineering

    Polytechnic University of Valencia (UPV)

    Computing specialization. Training in programming, algorithms, databases, and software architectures.
  2. •

    Erasmus in Computer Science

    Technical University of Munich (TUM)

    International exchange program focused on AI and robotics. Participation in applied research projects on implicit neural models.
  3. •

    Akademia Bankinter Innovation Foundation

    Bankinter Innovation Foundation

    Training program in innovation and technological entrepreneurship. Development of leadership skills and management of innovative projects.
  4. •

    Diploma in Social Innovation

    CEU San Pablo Valencia

    Training in social innovation and corporate responsibility in collaboration with Edwards Lifesciences.

About Me

Computer Engineer graduated from the Polytechnic University of Valencia with specialization in Artificial Intelligence and Machine Learning. Professional experience developing AI agents, enterprise testing automation, backend with Python/TypeScript, and Deep Learning models applied to real-world problems.

Currently at Mercadona IT leading the development of the proprietary testing framework for backend components, integrating quality analysis with SonarQube and advanced Python scripts. Soon to participate in code agent validation, ensuring the reliability of AI systems in production. Previously collaborated with frontend (Angular) and backend teams optimizing architectures and accelerating development cycles.

Versatile profile with international experience (TUM Munich, multinational teams), technical leadership mindset, and passion for building scalable solutions. Seeking to continue growing in AI/ML Engineering roles with projection towards technical management positions, where I can combine expertise in AI, software engineering, and strategic vision.

Key Values

✓ Technical leadership
✓ Strategic vision
✓ Complex problem solving
✓ Cross-functional collaboration
✓ Effective international communication
✓ Continuous learning and adaptability