I specialize in end-to-end development, from building intelligent systems to deploying them on cloud platforms like Azure and AWS. My expertise lies in Reinforcement Learning, AI for Energy Efficiency, and MLOps, and I'm passionate about combining cutting-edge AI with practical engineering solutions. π
- Three Climate Experiment: A novel, deep-reinforcement-learning-based HVAC solution to optimize energy use and comfort in office spaces (SDG Goals: 7, 11, 13).
- Sold by RL: Agentic pricing in large-scale ecomerce websites, managing supply along with competitor price predictions (SDG Goal: 12)
- Exploring creative, human-AI interactions that gamify Reinforcement Learning training.