Arnab Bhattacharjee
About Arnab Bhattacharjee
Arnab Bhattacharjee is an experienced engineer specializing in deep learning and machine learning algorithms for computer vision applications. He has worked at Canon India and Honeywell, contributing to various projects in network surveillance and avionics software development.
Work at Canon India
Arnab Bhattacharjee has been employed at Canon India since 2016, where he serves as a Lead Engineer. His tenure at Canon India spans eight years, during which he has contributed to various projects and initiatives in the field of engineering. Prior to his current role, he worked as a Senior Engineer at the same company from 2014 to 2016. His experience at Canon India highlights his commitment to advancing technology in the engineering sector.
Previous Experience at Honeywell
Before joining Canon India, Arnab Bhattacharjee worked at Honeywell for five years, from 2008 to 2013. His roles included Software Engineer and Technical Lead, where he was involved in avionics software development. He began his career at Honeywell as an Engineer Trainee in 2007. His experience at Honeywell provided him with a strong foundation in software engineering and technical leadership.
Education and Expertise
Arnab Bhattacharjee studied Electronics at Siddagana Institute of Technology in Tumkur, where he earned his Bachelor's degree from 2003 to 2007. He also studied at Manipal Academy of Higher Education. He possesses expertise in developing deep learning and machine learning algorithms, particularly for computer vision applications in network surveillance cameras. His technical skills include image classification, object detection, semantic segmentation, face recognition, and image denoising.
Technical Skills and Contributions
Arnab Bhattacharjee has a diverse set of technical skills, including proficiency in optical character recognition (OCR). He has been involved in the architecture and development of production-level embedded software, as well as prototyping and proof-of-concept for new project initiatives. His background in avionics software development and experience with computer vision problems underscore his contributions to the engineering field.