Nivitus Fernandez
About Nivitus Fernandez
Nivitus Fernandez is an AI Engineer specializing in Visual AI, dedicated to enhancing human and machine perception through computer vision technologies. He has a background in computer science and has worked in various roles within the AI field, currently employed at SparkCognition in Bengaluru, India.
Work at SparkCognition
Nivitus Fernandez currently serves as an AI Engineer specializing in Visual AI at SparkCognition, a role he has held since 2022. Based in Bengaluru, Karnataka, India, he focuses on developing innovative solutions that enhance the interaction between human perception and machine capabilities. His work involves optimizing object recognition and improving the functionality of edge devices through advanced AI and machine learning techniques.
Education and Expertise
Nivitus Fernandez holds a Master of Computer Applications (MCA) from Loyola College, where he studied Computer Programming from 2018 to 2021. He also earned a Bachelor of Computer Applications (BCA) from Don Bosco College of Arts and Science, completing his studies in Computer Programming from 2015 to 2018. His foundational education includes a Higher Secondary degree in Computer Science from St. Fr. Xavier's Hr. Sec. School, achieved between 2013 and 2015.
Background
Nivitus Fernandez has a diverse background in AI and computer vision. He began his career as a Machine Learning Intern at NeoSOFT Technologies, where he worked for five months in 2021. He then transitioned to Integration Wizards Solutions, first as a Computer Vision Engineer for three months in 2021 and later as an AI Engineer for two months in 2022. His early experience includes a Data Science Internship and a role as a Content Writer at AICE - AI Cloud Enterprise in 2020.
Achievements in AI and Computer Vision
Nivitus Fernandez specializes in optimizing object recognition and enhancing edge device capabilities using AI and machine learning. His work is dedicated to advancing the field of computer vision, focusing on bridging the gap between human and machine perception. His contributions in various roles reflect a commitment to pushing the boundaries of what is achievable in this domain.