Debanwesh Bose
About Debanwesh Bose
Debanwesh Bose is a Data Scientist with expertise in developing document parsing pipelines and NLP-based systems. He has led AI initiatives for Fortune 500 companies and has a background in Electronics and Tele-communication Engineering from KiiT University.
Work at HighRadius
Debanwesh Bose currently serves as a Data Scientist at HighRadius, a position he has held since 2020 in Hyderabad, Telangana, India. In this role, he has contributed to various projects, including the development of an end-to-end Document Parser Pipeline designed to parse invoices and remittances for payment information retrieval. He also led AI adoption initiatives with Fortune 500 companies, focusing on driving product innovation. Prior to his current role, he worked as a Data Science Intern at HighRadius from 2019 to 2020 in Bhubaneswar, Orissa, India.
Education and Expertise
Debanwesh Bose completed his Bachelor of Technology in Electronics and Telecommunication Engineering at KiiT University from 2016 to 2020. His educational background includes a strong foundation in data science and engineering principles. Additionally, he studied Computer Science at Army Public School Kolkata, where he achieved AISSCE from 2014 to 2016. His expertise includes data storytelling, effective communication with stakeholders, and the development of advanced data processing systems.
Background
Before his tenure at HighRadius, Debanwesh Bose worked at Kuriosity, where he held the positions of Technical Editor and later Senior Technical Editor from 2018 to 2020. In these roles, he was involved in content development and technical editing, contributing to the company's projects. His experience in both technical and data science roles has equipped him with a diverse skill set applicable in various domains.
Achievements
Debanwesh Bose has developed several notable systems during his career. He created a patented Custom Unsupervised Fast Image similarity system based on keyword contours and positioning. Additionally, he developed an end-to-end Trigger Word Detection system for Kuriosity's flagship product, Freeda. He has also implemented an NLP-based Text similarity and Named Entity Recognition pipeline for extracting information from bank notes.