My diverse IT career spans over 12 years, honing my expertise in a wide range of dynamic and cutting-edge AI and machine learning technologies. I've successfully implemented advanced machine learning algorithms and neural networks using Python libraries like TensorFlow, Keras, PyTorch, and OpenCV - all of which are vital for the healthcare discrepancy detection project you have in mind. Be it transfer learning, deep learning, or reinforcement learning, my proficiency extends across these advanced ML techniques.
Furthermore, I'm well-versed with big data technologies like Hadoop, Spark, and Apache Kafka - enabling me to efficiently process and analyze the large public health datasets your project requires. My experience also extends to developing RESTful APIs and integrating AI models effectively into web and mobile applications using frameworks like Flask and Django. Hence, I'm confident in my ability to create a seamless webapp interface with integrated ML functionality for your project.
My experience in both healthcare and applying AI to multiple fields positions me uniquely to tackle the task at hand. I've worked extensively with computer vision techniques for image analysis, including tasks such as object detection, image segmentation, and facial recognition