Carlos Hernández Martínez

Carlos Hernández Martínez

Valencia, Spain

Building and evaluating reliable AI agents with Python.

My Experience

QA Backend Developer — AI Agents & Evaluation

Mercadona IT

  • Designs a reusable evaluation framework for AI agents.
  • Builds Python agents and tools to automate quality workflows, including integration-test generation.
  • Maintains and evolves a Java-based integration-testing framework.
  • Develops backend capabilities for an internal software-quality platform.

AI Software Engineer — Python, Agents & RAG

Urobora SL (AI Startup)

  • Developed Python backend services for autonomous AI agents and enterprise RAG systems.
  • Built asynchronous microservices using RabbitMQ and containerized them with Docker.
  • Deployed and scaled AI services on GCP and Kubernetes, contributing across the lifecycle from experimentation to production.

Tech Stack

Backend & Core Engineering

Python Java Spring Boot FastAPI REST APIs

Artificial Intelligence

LLMs & RAG AI Agents AI Agent Evaluation Google ADK Promptfoo PyTorch TensorFlow

QA & Software Quality

Playwright Postman Integration Testing Test Automation

DevOps & Cloud

GCP Kubernetes CI/CD

Featured Projects

Medical Diagnosis with Deep Learning - Bachelor's Thesis

Medical Diagnosis with Deep Learning - Bachelor's Thesis

Python PyTorch TensorFlow Computer Vision Healthcare AI

Built a deep-learning system to classify knee osteoarthritis from medical radiographs using ResNet and EfficientNet with PyTorch and TensorFlow. Achieved 80% binary-classification accuracy through fine-tuning, data augmentation, and cross-domain validation.

Neural Implicit Models for Robotics - TUM Research

Neural Implicit Models for Robotics - TUM Research

Python PyTorch Robotics Research Neural Networks

Developed implicit neural models for real-time collision detection in robotic manipulators in collaboration with TUM and KUKA Robotics. Implemented swept-volume models in PyTorch and optimized inference for industrial robotics research.

Academic Background

Bachelor's Degree in Computer Engineering

Polytechnic University of Valencia (UPV)

Specialization in Artificial Intelligence and Machine Learning.

Erasmus in Computer Science

Technical University of Munich (TUM)

AI and robotics exchange program with applied research on implicit neural models.

Akademia Bankinter

Bankinter Innovation Foundation

Program in innovation and technological entrepreneurship.

Diploma in Social Innovation

CEU San Pablo Valencia

Program in social innovation and corporate responsibility.

About Me

Computer Engineer focused on AI agents and evaluation, with experience building AI-powered tools, automating software-quality workflows, and developing backend systems with Python and Spring Boot.