I am a passionate AI student with a strong foundation in computer vision, machine learning, and applied computer science. Throughout my academic journey, I have focused on neural networks and advanced regularization techniques, gaining substantial experience with key tools and programming languages, including Python, R, PyTorch, and TensorFlow. This technical foundation has enabled me to work on complex deep learning models, exploring their applications in both supervised and unsupervised learning tasks.In addition to my AI studies, I have a strong interest in robotics, where I have worked with C++ and ROS2 to program and simulate robotic systems, covering areas such as robot programming, path planning, and autonomous driving. These projects allowed me to experiment with interactive graphics to create immersive simulations, enhancing my understanding of robotics' real-world applications.I also have hands-on experience in data analysis, using R for data processing, visualization, and statistical analysis across several projects. Moreover, I have explored multilingual natural language processing (NLP), where I applied neural networks to analyze and interpret text in different languages, further expanding my skill set in AI and machine learning.I am proficient in cloud-native technologies, including Google Cloud and AWS, where I deployed scalable AI models, integrated machine learning pipelines, and managed large-scale computational resources to support high-performance AI research. This experience provided me with deep insights into cloud architecture and its role in enabling cutting-edge AI capabilities.Currently pursuing advanced studies, I am eager to deepen my knowledge and contribute to innovative research that intersects with areas like autonomous systems and generative AI. My goal is to pursue a PhD to further explore computer vision, AI, and robotics, ideally collaborating with pioneering studios to bring theoretical advancements into impactful applications. My experience in both industry and academia reflects a strong commitment to research and development, with a skill set well-suited to interdisciplinary AI projects.