Martín Nicolás Gramática Lauret

Led the development of Scan&Live, a real-time microscope imaging solution, and directed AI integration in digital pathology. Managed a multidisciplinary team and deployed ML models to enhance diagnostic efficiency.

Responsible for the Integrative Practical Assignment in the AI module, creating hands-on research-driven challenges and designing AI learning strategies.

Conducted research in AI applied to medical imaging and 3D vision, supervising students in AI and computer vision research projects.

Led the Computer Vision module in the Data Science Diploma program, designing and teaching courses on image processing and deep learning.

Developed AI, computer vision, and full-stack applications for various clients, showcasing versatility in software development.

Maintained and improved LiveView, a real-time microscope image-sharing application, and developed image-stitching software for full-slide views.

Maintained and optimized the company’s software system and developed Oracle 11g database solutions.

Developed automated test cases for Southwest Airlines, significantly reducing regression testing time.

Developed automated tests and fixed software bugs in telecommunications applications, gaining hands-on experience in software development.

Grade: Distinction

Completed a Master of Science in Computer Vision, Robotics and Machine Learning with distinction, focusing on advanced techniques in AI and machine learning applications in computer vision.

Grade: 8.71/10

Earned a degree in Information Systems Engineering with a GPA of 8.71/10, covering various aspects of information systems, software development, and engineering principles.