As an Applied AI Scientist, I love bringing AI to life by solving real-world problems with practical applications. My work spans domains such as computer vision, smart health monitoring, and autonomous systems.

I have a particular interest in financial markets—especially cryptocurrency. During my PhD at Deakin University, Australia, and alongside an MBA in Finance, I led a Fintech project introducing CausalReinforceNet—a hybrid AI framework that combines causal inference and reinforcement learning to analyze altcoin price movements and the influence of traditional assets and social media sentiment.

My work focuses on both the research and application of Bayesian networks and reinforcement learning, earning recognition including the Best Student Prize at the 15th Bayesian Network Modelling Association Conference. By integrating AI across multiple domains, I aim to bridge innovative research with real-world impact.