About

Ajeet Kumar Singh is a Researcher at TCS Research with over 9 years of relevant experience in the field of Computer Science and Engineering. He specializes in developing simple and effective solutions for day-to-day problems using Machine Learning, Statistical Methods, and Computer Vision. Ajeet's area of interest includes Object Recognition, Image Understanding, Deep Learning, and related Machine Learning techniques. He has worked on projects involving large-scale image recognition, such as object classification, object detection, and object localization. Prior to his current role, Ajeet worked as a Research Intern at Intel, where he developed deep learning-based algorithms for image recognition. He was part of the PCL team and worked on projects involving object classification, detection, and localization. He has also worked as a Research Associate at the International Institute of Information Technology, where he developed algorithms leveraging deep learning to solve problems in Optical Character Recognition. Ajeet has a Master of Science degree in Computer Science and Engineering from the International Institute of Information Technology and a Bachelor of Technology degree in Computer Engineering from Jodhpur Institute of Engineering and Technology. He also has a Higher Secondary degree in Physics, Chemistry, and Mathematics from Central Academy, Jodhpur India. Ajeet's technical skills include Research Scientist, Deep Learning, ML, Computer Vision, Object detection, and Object Detection. He has published four papers in reputed document-specific conferences and his thesis topic was "Script and Language Identification in Document Images and Scene Texts". Ajeet is a highly motivated and innovative researcher who is always looking for new ways to solve problems using cutting-edge technology.