Prasenjit Mukherjee
About Prasenjit Mukherjee
Prasenjit Mukherjee is a Spatial Compute Engineer and Co-founder at Dabble, with a background in computer vision and robotics. He has held various engineering roles at companies such as Placenote, Clearpath Robotics, and Qualcomm, and has an educational background in Mechatronics Engineering from the University of Waterloo.
Current Role at Dabble
Prasenjit Mukherjee serves as a Spatial Compute Engineer and Co-founder at Dabble since 2021. In this role, he focuses on the development of spatial computing technologies. His work includes building experimental products utilizing Stable Diffusion and Dreambooth, employing frameworks such as Pytorch and FastAPI for rapid prototyping in marketing applications.
Previous Experience at Placenote
Prior to his current position, Mukherjee worked at Placenote as a Computer Vision Engineer and later as CTO from 2016 to 2021 in the San Francisco Bay Area. His tenure at Placenote involved significant contributions to computer vision technologies, enhancing the company's offerings in spatial computing.
Education and Expertise
Mukherjee studied at the University of Waterloo, where he earned both a Master of Applied Science (MASc) and a Bachelor of Applied Science (BASc) in Mechatronics, Robotics, and Automation Engineering. His academic background laid the foundation for his expertise in robotics and automation, which he has applied throughout his career.
Research and Development Experience
Mukherjee has a background in research, having worked as a Graduate Researcher at the University of Waterloo from 2010 to 2012. He also held a position as a Robotics Research Student in 2009. His research experience has contributed to his skills in developing innovative solutions in the field of robotics and spatial computing.
Technical Contributions and Projects
Throughout his career, Mukherjee has developed various technical solutions, including a pipeline that transforms complex client requirements into templated instructions for 3D artists. This pipeline is utilized on platforms such as Etsy, Instagram, Shopify, Pinterest, Amazon, and West Elm. He also created a render farm using cloud GPU software and Python, enabling flexible rendering capabilities for clients.