Amir Skandani
About Amir Skandani
Senior Machine Learning Engineer
Amir Skandani holds the position of Senior Machine Learning Engineer. This role encompasses responsibilities related to the development and deployment of machine learning solutions. His expertise includes backend and infrastructure design to support these advanced technologies. Skandani is currently applying his skills at iSono, where he leverages his vast experience to drive innovation in machine learning applications.
Ph.D. in Engineering Science and Mechanics from Virginia Tech
Amir Skandani earned his Ph.D. in Engineering Science and Mechanics from Virginia Tech. This advanced degree provided him with a strong foundation in the principles of engineering and the mechanics that drive complex systems. His academic background has equipped him with the skills and knowledge necessary to excel in the field of machine learning engineering.
Research Fellowship at Carnegie Mellon University
Amir Skandani served as a research fellow for the soft robotics team at Carnegie Mellon University. During his time in this role, he collaborated with experts in the field to push the boundaries of robotics research. This experience allowed him to deepen his expertise in advanced robotics and machine learning applications.
Experience in the Energy Sector
Amir Skandani has significant experience working in the energy sector with notable companies such as GE Oil & Gas, Shell, and Marathon Oil. In these roles, he was instrumental in building and deploying machine learning solutions tailored to the unique challenges of the energy industry. His work in this sector highlights his ability to apply machine learning techniques to practical, industry-specific problems.