AI Engineer · Autonomous Agents · ML & Deep Learning
- BSc in Artificial Intelligence
- Bachelor's Thesis: autonomous AI agents in Minecraft, combining multiple AI algorithms
- Passionate about ML, Deep Learning, and Autonomous Systems. And also anything related to Software Development, Computer Science and Data Science.
- Some background in Full Stack Development and Game Development
Open to AI/ML Engineer roles, remote worldwide or hybrid in Spain.
Bachelor's thesis; AI agents that autonomously complete tasks in Minecraft using a combination of AI algorithms.
Technical-interview simulator: generates questions with an LLM over a RAG pipeline, scores each answer with four NLP metrics and adapts the difficulty in real time. Built with FastAPI, LangChain, ChromaDB and Redis.
Simulation of the historical Kowloon Walled City, exploring how spatial specialisation, criminal cartels and demographic cycles emerge from purely local rules under resource scarcity and weak law enforcement.
Complete Machine Learning pipeline (dataset creation from Riot's API, EDA, model training, etc.) to predict a live win percentage for a League of Legends game.
Using Symbolic Regression to discover compact, interpretable mathematical expressions that can predict airfoil self-noise from aerodynamic and geometric features.