Ramasamy Seenivasagan has a diverse work experience in various technology-related roles. Ramasamy started their career at Broov Information Services Pvt Ltd as a software developer, where they worked on software product development and speech recognition using cmusphinx. Ramasamy then moved on to Quixxi as a Lead Researcher, where they helped develop a quick and easy integrated framework for securing and maximizing the potential of mobile apps.
After that, Ramasamy joined ezidox™ as a Lead Researcher, where they contributed to the development of an award-winning document collection and management platform for businesses. Ramasamy then worked at Lakeba Group as a Lead Researcher, where they were involved in the conception, creation, and commercialization of early-stage technology-driven ventures.
Currently, Ramasamy is working at Shelfie as a Machine Learning Architect & Technical Project Manager. Shelfie is a platform that provides automated visual insights for retailers, transforming retail operations by identifying stock gaps and planogram discrepancies. Using the Shelfie Index, retailers gain valuable insights and improve the physical appearance of their stores.
Overall, Ramasamy Seenivasagan's work experience showcases their expertise in software development, research, and project management in the technology industry.
Ramasamy Seenivasagan attended Anna University from 2004 to 2008, where they obtained a Bachelor of Engineering (BE) degree in Electronics and Communication Engineering. In September 2017, they also completed a certification course in Neural Networks and Deep Learning through Coursera.
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