Ranraj Singh
About Ranraj Singh
Ranraj Singh is a Senior Deep Learning Engineer at Nanonets in Mumbai, India, specializing in multimodal large language model architectures for document processing. He holds a Bachelor of Technology in Electronics and Communication Engineering from the Indian Institute of Technology (Indian School of Mines), Dhanbad, and has experience in various roles within data science and machine learning.
Work at NanoNets
Ranraj Singh has been employed at NanoNets as a Senior Deep Learning Engineer since 2023. He is based in Mumbai, Maharashtra, India. In this role, he specializes in developing multimodal large language model architectures specifically for document processing. His work contributes to advancing the capabilities of deep learning applications within the organization.
Education and Expertise
Ranraj Singh earned a Bachelor of Technology in Electronics and Communication Engineering from the Indian Institute of Technology (Indian School of Mines), Dhanbad, completing his studies from 2016 to 2020. His educational background provides a strong foundation for his expertise in deep learning and natural language processing.
Professional Experience
Prior to his current position, Ranraj Singh held various roles in the field of data science and machine learning. He worked as a Lead Data Scientist at Convosight from 2022 to 2023. He also served as a Data Scientist at UnitedHealth Group for two years, from 2020 to 2022, and completed internships at Oracle and UnitedHealth Group in 2018 and 2019, respectively.
Research and Internships
Ranraj Singh has participated in several research and internship programs that have shaped his career. He was a Research Intern at the Indian Institute of Management Visakhapatnam for one month in 2020 and completed a Summer Internship at the Indian Institute of Management, Lucknow, in 2017. These experiences contributed to his practical knowledge in data science and machine learning.
Interests in Neuropsychology
Ranraj Singh has a keen interest in neuropsychology, focusing on the works of notable figures such as V. S. Ramachandran, David Eagleman, and Robert Sapolsky. This interest reflects his broader engagement with cognitive sciences and their implications for technology and artificial intelligence.