AI Engineer focused on Aviation AI
Building agentic systems, voice interfaces, and simulation tools for aviation operations and training.
AI-powered ATC training platform: controllers speak to intelligent virtual pilots while aircraft operate in X-Plane 12.
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AI-assisted instructor console for placing aircraft and changing their operational state throughout a training session.
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Fork of LexFlow extended with autonomous-agent workflows.
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Headless A320 systems simulator built on FlyByWire. Its CLI and MCP server let LLM agents identify and manage failures through ECAM and QRH procedures.
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Public corpus of 300 synthetic ICAO radiotelephony exchanges for pilot readback research and evaluation across delivery, ground, and tower operations.
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- Agentic AI systems for aviation operations and training
- Voice, NLP, and ICAO radiotelephony workflows
- High-fidelity simulation and human-in-the-loop interfaces
- Developer tools and MCP-based AI integrations
Artificial Intelligence Engineering graduate with hands-on work across machine learning, deep learning, NLP, and data analytics. I am particularly interested in applying AI to complex, safety-conscious aviation environments.
- Artificial Intelligence Engineering - UIE Campus Coruna
- Deep Learning Specialization - Andrew Ng (Coursera)
- DeepLearning.AI Data Analytics Professional Certificate
- IBM Deep Learning with PyTorch, Keras and TensorFlow - Professional Certificate
For collaboration, research, or aviation AI opportunities, reach me on LinkedIn, through my portfolio, or by email.