I build AI systems that are not only accurate, but inspectable and reproducible.
| Privacy & security | Reproducible evidence | Responsible AI |
|---|---|---|
| I evaluate what models and distributed updates can reveal—not only what they predict. | I favour deterministic pipelines, leakage-aware validation, statistical comparisons and traceable results. | I document intended use, limitations and safeguards, especially for privacy-sensitive and medical ML. |
- Computer Engineering graduate from the University of Alicante.
- Professional experience as an Artificial Intelligence Engineer at NTT DATA, working with Microsoft Azure, Azure Machine Learning, LLMs, the OpenAI API, process automation, prompt engineering and technical documentation.
- Focused on federated learning, ML privacy and security, computer vision, NLP and responsible AI.
- I enjoy taking technical questions from experiment design to tested code, interpretable results and clear documentation.
| Project | What I built | Stack and evidence |
|---|---|---|
| Federated Learning Privacy & Security | An experimental study of reconstruction attacks and label inference from gradients and local model updates, including clipping and Gaussian-noise defenses. | Python · PyTorch · Flower · CIFAR-10 · ResNet-18 · FedAvg/FedSGD · visual attack and defense comparisons |
| Chest X-Ray Classification Benchmark | A reproducible pneumonia-classification benchmark with explainability, transfer learning, deep embeddings and a framework-independent FedAvg simulation. | TensorFlow · MobileNetV2 · Grad-CAM · Random Forest · stratified 10-fold CV · paired Wilcoxon tests · research use only |
| Valencian GDP Prediction | Leakage-aware forecasting of quarterly regional GDP variation from Spanish tweets, engagement signals and lagged economic information. | Python · NLP · MLP/LSTM/BiLSTM · expanding-window validation · fold-local preprocessing · Wilcoxon tests |
| Mini Compiler with Flex & Bison | A compiler front end with lexical, syntactic and semantic analysis, nested scopes, static type checking, diagnostics and executable-code generation. | C/C++ · Flex · Bison · GNU Make · m2r VM · end-to-end regression suite |
| Role | Highlights |
|---|---|
| NTT DATA — Artificial Intelligence Engineer (Internship) · Dec 2025 – Mar 2026 | Microsoft Azure and Azure ML; responsible AI; LLM and OpenAI API workflows; process automation; prompt engineering; technical documentation. |
AI and research
Applied AI and cloud
Languages and systems
- Computer Engineering — University of Alicante, completed in 2026.
- Languages: Spanish · Valencian/Catalan · English · Chinese (basic).
Resumen en español
Soy ingeniero de inteligencia artificial y graduado en Ingeniería Informática por la Universidad de Alicante, con experiencia profesional en NTT DATA. Me centro en IA responsable, aprendizaje federado, privacidad y seguridad en machine learning, visión por computador y NLP. Valoro especialmente los experimentos reproducibles, la evaluación rigurosa y una documentación técnica clara.
中文简介
我是一名人工智能工程师，毕业于阿利坎特大学计算机工程专业，并拥有在 NTT DATA 的专业经验。我的主要方向包括负责任的人工智能、联邦学习、机器学习隐私与安全、计算机视觉和自然语言处理。我重视可复现的实验、严谨的评估和清晰的技术文档。
If you are working on AI systems, federated learning, privacy-preserving ML or applied machine learning, feel free to connect on LinkedIn or send me an email.