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Ryan Rizzo
Software Engineer at Loqus Business Intelligence
Ryan Rizzo is a highly skilled software engineer with a robust educational background and extensive experience in various aspects of technology, including deep learning, cloud computing, and web development. His academic journey commenced with a Bachelor's degree in Electronics and Control Engineering, where he graduated with First Class honors from the Malta College of Arts, Science and Technology (MCAST). Along the way, Ryan has enriched his knowledge with multiple certifications and courses, including machine learning coursework through Stanford University on Coursera, mobile web specialization via Udacity, and focused studies on Angular 5 and MEAN stack development through Udemy Academy. His diverse education makes him not only a specialist in engineering principles but also a proficient web application developer.
Ryan's professional career is marked by his impactful positions at various notable organizations. Currently, he holds a position as a Software Engineer at Loqus Business Intelligence, where he actively develops and enhances software solutions that address business intelligence needs. His previous roles at Loqus also include serving as a Junior Software Developer, laying a solid foundation for his expertise in the field. Before joining Loqus, Ryan contributed to the team at PIXAM as a Machine Learning Engineer, where he applied his knowledge of deep reinforcement learning to achieve state-of-the-art results for robotics applications. His work in this domain is notable as he outperformed all previous methodologies in continuous control tasks, showcasing his innovative approach and technical prowess.
Throughout his educational and career path, Ryan has demonstrated a keen aptitude for advanced deep learning frameworks, particularly with TensorFlow and Keras, alongside familiarity with popular cloud computing platforms, including Amazon Web Services (AWS) and Google Cloud Platform (GCP). This blend of skills positions him uniquely to tackle complex problems in machine learning and data analysis. In addition to his deep learning expertise, Ryan is well-versed in web development languages such as JavaScript, HTML5, CSS3, SQL, Angular, and Django framework. His programming capabilities extend to multiple languages, including Java, C, C++, and Python, which are crucial for developing dynamic applications.
Ryan's technical journey also includes hands-on experience with hardware integration, having worked with ARM Cortex-based microcontrollers, FPGAs, and Raspberry Pi microprocessors. This practical knowledge further bolsters his software development skills, enabling him to create solutions that are both software and hardware integrated. His vocational experience began with a scholarship at Google and involved multiple apprenticeships, including roles in IT Services Engineering at the University of Malta and engineering at Methode Electronics. These experiences have equipped Ryan with the practical skills required to excel in his profession and have further driven his passion for technology.