I am a Postdoctoral Researcher specializing in Artificial Intelligence, with a distinguished academic background in Control and Automation Systems Engineering. My expertise spans Data Science, Machine Learning, LLMs, Deep Learning, Natural Language Processing (NLP), and Robotics, where I have applied my skills in both industry and research settings. Currently, I am devoted to advancing the state-of-the-art in AI through my postdoctoral research. My work integrates technical proficiency in Python, SQL, TensorFlow, and Keras with a deep understanding of AI principles and methodologies, leading to innovative solutions and insights. Previously, I have led and executed diverse projects such as sales forecasting using time series and LSTM neural networks, autonomous indoor navigation of quadrotors using ORB-SLAM, and deep learning-based credit scoring in the banking sector. Coupled with my experience in data analysis and visualization, this has given me a comprehensive understanding of how AI can be harnessed to solve complex problems and create value.