I am a specialist in Artificial Intelligence and Data Science with experience in finance and academic research. My personal interests lie in the Reinforcement Learning, Ethics, Computer Vision, and Robotics areas of AI.
Validating and challenging machine learning, statistical, and stochastic models across fraud, compliance, macroeconomic forecasting, and operational risk. Focused on model governance, performance, and regulatory compliance (EU AI Act, GDPR, ICAAP, IFRS9), while developing AI-driven tools, automated validation pipelines, and LLM-based systems for decision support.
Apr. 2023 - PresentConducted research in Reinforcement Learning, AI Planning, and Graph Neural Networks, with publications at international conferences. Led applied AI projects in gaming and transportation, contributed to open-source planning frameworks, and won first place at the 2020 International Planning Competition (Partial Order track).
Sept. 2019 - Apr. 2023Specialized training in statistical learning and machine learning, including probabilistic models, neural networks, and computer vision, with strong practical and mathematical foundations.
Sept. 2020 - Jun. 2021Bachelor’s degree in Computer Science with a specialization in Artificial Intelligence, covering algorithms, software engineering, and intelligent systems.
Jun. 2016 - Sept. 2020© 2026 I. Vellido