Rachna Umesh
About Rachna Umesh
Rachna Umesh is a Deep Learning Engineer currently employed at RadiusAI, Inc. She has a background in Electrical, Electronics and Communications Engineering, as well as Computer Science, and has interned at notable organizations including ISRO and ARTPARK.
Work at RadiusAI
Rachna Umesh currently holds the position of Deep Learning Engineer at RadiusAI, Inc. She has been with the company since 2022. In this role, she applies her knowledge in deep learning to develop advanced solutions that enhance the company's capabilities in artificial intelligence and machine learning.
Education and Expertise
Rachna Umesh earned two Bachelor's degrees from PES University, one in Electrical, Electronics and Communications Engineering and another in Computer Science with Minors, both completed between 2018 and 2022. Her academic background provides a solid foundation in signal processing and systems engineering, which are critical areas in electronics and communication.
Background
Rachna Umesh began her education at National Hill View Public School, where she studied PCMB from 2016 to 2018. Following her secondary education, she pursued higher education at PES University, focusing on engineering disciplines. She has gained practical experience through internships at prominent organizations, including ISRO and ARTPARK.
Research and Interests
Rachna actively engages with new research articles, papers, and open-source libraries relevant to her field. She has a keen interest in pattern classification, which aligns with her expertise in computer vision and deep learning. This commitment to continuous learning supports her professional development in the rapidly evolving field of deep learning.
Internship Experience
Rachna Umesh has completed several internships that contributed to her professional growth. She worked as a Project Intern at the Indian Institute of Science (IISc) for four months in 2021 and as a Research Intern at ISRO for seven months in the same year. Additionally, she interned at ARTPARK for five months in 2022, gaining valuable experience in research and application of engineering principles.