AI researcher and computer engineer with a strong focus on Deep Reinforcement Learning and its applications in energy efficiency and smart environments. Passionate about pushing the boundaries of technology through continuous learning, rigorous experimentation, and applied innovation. I am highly committed to every project I take on and always strive for excellence and meaningful impact.
🔜 PhD Candidate in Deep Reinforcement Learning (Artificial Intelligence) for Building Energy Optimization | 2021–2025 🎓 Master’s Degree in Computer Engineering – University of Granada | 2018–2019 🎓 Bachelor’s Degree in Computer Engineering – University of Granada | 2014–2018
- Main developer of Sinergym (⭐️
), a project of the ugr-sail organization.
- Stars not counted in personal GitHub stats.
- Advanced Deep Reinforcement Learning techniques in building energy optimization
- Scalable architectures with Cloud Computing
- Improving my skills in Machine Learning research & deployment
- 📄 Sinergym – A virtual testbed for building energy optimization with Reinforcement Learning (2025)
- 📖 Exploring Deep Reinforcement Learning Algorithms for Enhanced HVAC Control (2024)
- 📄 An experimental evaluation of deep reinforcement learning algorithms for HVAC control (2024)
- 📖 Explaining Deep Reinforcement Learning-Based Methods for Control of Building HVAC Systems (2023)
- 🔹 Sinergym: a building simulation and control framework for training reinforcement learning agents (2021)
⭐️ From AlejandroCN7