As a Technical Lead in Research and Development for Software Specialists in Image Processing for Medical Devices, I bring a wealth of expertise and experience to the table. With a strong background in Digital Image Processing, I have honed my skills in the use of Python as a programming language and have a deep understanding of the principles of Engineering, Medical Imaging, and Computer Vision. My proficiency in C++ is a testament to my ability to develop complex and sophisticated algorithms and code, capable of delivering high accuracy results with great efficiency.Over the course of my career, I have been actively involved in several challenging medical image processing projects, where I have consistently demonstrated my ability to resolve complex issues and find innovative solutions. My in-depth knowledge of Matlab, Python, and C++, combined with my experience using the OpenCV library, has enabled me to develop advanced methods and algorithms that are robust, reliable, and effective.I am confident that my technical skills and hands-on experience make me an excellent candidate for any organization looking for a dedicated and highly skilled professional in the field of Image Processing for Medical Devices.

With my technical expertise in deep learning and computer vision, I have been actively engaged in a variety of projects that harness the power of IoT to deliver intelligent solutions. From object detection and tracking to people counting and GDPR compliance, I have leveraged my skills and knowledge to help organizations realize their vision.I have a strong track record of working with a range of hardware, including Raspberry Pi and Jetson Nano, as well as cloud-based methods in AWS. I am well-versed in using various applications and architecture, including Docker, AWS, and Edge, to build scalable and reliable systems.As a dedicated team member, I have consistently demonstrated my commitment to delivering high-quality work. My ability to work collaboratively and effectively communicate with team members has enabled me to develop successful solutions that meet the needs of the business.If you are looking for a driven and experienced professional with a passion for computer vision and deep learning in IoT, look no further. I am eager to put my skills and expertise to work for you and help you achieve your goals.

As a seasoned researcher, I have extensive experience in the field of deep learning and its applications. My expertise encompasses the development and implementation of cutting-edge solutions in various domains such as smart lock-up, smart parking, face attribute recognition systems, and video analytics. I have leveraged advanced deep learning frameworks, including Caffe, TensorFlow, and DIGITS, to design and execute sophisticated algorithms on Ubuntu.In addition, I have made significant contributions to the field through my research and development efforts. I have filed several patents, with one of them being granted and now available for public viewing. The patented invention relates to a revolutionary system that leverages facial analysis technology to provide targeted advertisements, bringing a new level of personalization to the advertising industry.I am constantly seeking new challenges and opportunities to apply my expertise and drive innovative solutions that can make a positive impact on society.

As a highly motivated and dedicated PhD student, I have a passion for all things computer vision and artificial intelligence. With a focus on camera calibration, optical flow, image pyramid, type-2 fuzzy logic, video stabilization, humanoid robot localization, and stereo vision, I have made numerous contributions to this field.I developed a unique method for camera calibration that utilizes QR codes to simplify the process and improve accuracy. This method is based on type-2 fuzzy logic and utilizes image quality assessment and slope information to achieve the best results. Additionally, I proposed a fuzzy image pyramid that adaptively sets parameters based on image quality and size, which has been applied to optical flow methods and video stabilization algorithms.I also have a strong background in teaching, having served as a teaching assistant in various computer vision and AI courses, as well as leading workshops on image processing and deep neural networks. With expertise in software engineering, particularly in C++ and OpenCV, I have also recorded tutorials on computer vision and deep learning for others to benefit from.In summary, I am an enthusiastic and knowledgeable professional in the field of computer vision and AI, constantly seeking new and innovative solutions to the challenges in this field.