Dynamic and results-oriented Master's Thesis graduate in Computer Science, with international experience as a Machine Learning Engineer and Data Scientist Intern in the industry.

Possessing a robust background of three years as a research assistant, specializing in Machine learning, Internet of things, and Cyber-physical systems.

Proficient in cutting-edge technologies including TensorFlow, PyTorch, Keras, and advanced AI applications such as Transformers, Stable Diffusion, and Large Language models.

Dedicated to leveraging deep learning techniques and advancing the field of Explainable Artificial Intelligence in Deep Learning