Manoj K J
About Manoj K J
Manoj K J is a Cloud & DevOps Engineer currently employed at KPMG Global Services. He has a background in Electrical and Electronics Engineering from PES University and has gained experience through internships at ABB, Indian Institute of Science, and as a Research Assistant at PES University.
Current Role at KPMG Global Services
Manoj K J currently serves as a Cloud & DevOps Engineer at KPMG Global Services (KGS). His role involves leveraging cloud technologies and DevOps practices to enhance operational efficiency and streamline processes. He has been with KGS since 2021, contributing to various projects that focus on cloud infrastructure and deployment strategies.
Previous Experience at ABB
In 2021, Manoj K J completed a five-month internship at ABB in Bengaluru, Karnataka, India. During this period, he gained practical experience in engineering applications and developed skills relevant to his field of study. This internship provided him with insights into the industry and helped him apply theoretical knowledge in a professional setting.
Education and Expertise
Manoj K J earned his Bachelor of Engineering (BE) in Electrical and Electronics Engineering from PES University, completing his studies from 2017 to 2021. His academic background is complemented by expertise in programming languages such as Python, C, and Matlab & Simulink. He is proficient in Python libraries including Numpy, Scipy, Tensorflow, Sci-kit, OpenCV, and Keras, which are essential for data analysis and machine learning applications.
Research Experience
Manoj K J has engaged in various research roles, including a position as a Research Assistant at PES University in 2020 for three months. He also interned at the Indian Institute of Science (IISc) in 2019 for three months, where he gained experience in research methodologies. Currently, he is a Research Intern at the Raman Research Institute, focusing on astronomy and machine learning.
Interests and Specializations
Manoj K J has a keen interest in several technical fields, including signal processing, image processing, power systems, machine learning, and astronomy. His diverse interests reflect a commitment to exploring advanced technologies and their applications in various domains.