About
I am a PhD candidate in Computer Engineering, specializing in Artificial Intelligence. With a Master's degree in AI and Robotics, and extensive experience as a Data Scientist and Machine Learning researcher, I am passionate about solving complex problems at the intersection of artificial intelligence, machine learning, and advanced recommendation systems. My current research explores Perspective Analytics, Graph Neural Networks, and Reinforcement Learning to push the boundaries of recommendation engines. This work involves innovative approaches to data modeling, enabling more personalized and accurate recommendations across various domains. In addition to my academic endeavors, I have hands-on experience in data science, machine learning algorithms, and predictive modeling, having worked on real-world applications in both industry and research environments. Key Skills: Graph Neural Networks (GNNs) Artificial Intelligence & Machine Learning Data Science & Predictive Analytics Recommendation Systems Knowledge Graph Enrichment Research & Academic Writing I'm always open to collaboration, whether it's in academic research, industry partnerships, or consulting. Feel free to reach out if you are interested in exploring opportunities together!