Dinesh Kumar Gnanasekaran
About Dinesh Kumar Gnanasekaran
Dinesh Kumar Gnanasekaran is a Machine Learning Engineer currently working at Dragonfruit AI in Los Angeles, California. He has a background in electrical engineering and experience in deep learning, medical image analysis, and software development.
Work at Dragonfruit AI
Dinesh Kumar Gnanasekaran currently serves as a Machine Learning Engineer at Dragonfruit AI, a position he has held since 2023. His role involves applying machine learning techniques to develop innovative solutions. Prior to this, he worked as a Machine Learning Intern at the same company for four months in 2023, where he gained practical experience in the field.
Previous Experience at Hura Imaging Inc
Before joining Dragonfruit AI, Dinesh worked at Hura Imaging Inc as a Deep Learning and Medical Image Analysis professional from 2022 to 2023. During his tenure in Los Angeles, California, he contributed to projects focused on medical imaging, enhancing his expertise in deep learning applications.
Educational Background
Dinesh Kumar Gnanasekaran holds a Master of Science in Electrical Engineering from the University of Southern California, where he studied from 2021 to 2023. He also earned a Bachelor of Technology in Electrical, Electronics and Communications Engineering from Amrita Vishwa Vidyapeetham, completing his degree from 2016 to 2020.
Internship Experience
Dinesh has gained valuable experience through various internships. He worked as a Machine Learning Engineer Intern at DataFoundry AI in Coimbatore, Tamil Nadu, India, for six months in 2021. Additionally, he served as a Student Worker at the USC Mark & Mary Stevens Neuroimaging and Informatics Institute from 2022 to 2023, where he further developed his skills in machine learning and image analysis.
Research Interests and Skills
Dinesh possesses a strong passion for continuous learning, particularly in software engineering and machine learning. He has a keen interest in research, prototyping, and deploying software related to machine learning, computer vision, and natural language processing (NLP) models.