Charul Patel

With a strong academic background, internships, and collaborations, I have developed a keen interest in image processing, deep learning, and computer vision. My focus is on applying advanced methodologies to tackle real-world challenges in these domains. I am motivated by a passion for contributing innovative solutions and pushing the boundaries of these technologies to bridge the gap between theory and practical implementation.

Throughout my career, I have actively contributed to various projects in Medical AI, including medical imaging and EEG signals. I have also worked on brain tumor analysis, MRI/CT image processing, and federated learning within the healthcare domain. As a teaching assistant, I have helped students understand pattern recognition, machine learning, and computer vision. I have experience as a Python developer, contributing to the development and maintenance of backend services. I have also developed web applications using HTML/CSS, PHP, and MySQL.

My skills include Python, R, C/C++, Java, LaTex, SQL, artificial intelligence, machine learning, deep learning, signal analysis, computer vision, time series data modeling, image processing, medical imaging, data analysis, statistical analysis, data visualization, pattern recognition, deep neural networks, natural language processing, MLOptimization, Mlops, algorithm development, data structure, cloud computing, federated learning, and various tools and libraries such as GitHub, TensorFlow/PyTorch, Keras, NumPy/SciPy, Pandas, Sci-KitLearn, Matplotlib/seaborn, HuggingFace, PowerBi/Tableau, RoboFlow, YOLO, and MATLAB.