Ema
Hemant Pugaliya is a Machine Learning Lead at Ema Unlimited, focusing on the development of the Generative Workflow Engine™, an advanced platform for multi-agent collaboration. Prior to this role, Hemant served as a Senior Applied Scientist at Amazon, where expertise was applied in training domain-specific models for various applications, including search and advertising, while also enhancing efficiency in large-scale language models. Earlier experience includes an internship at Amazon Shopping & Discovery, a Teaching Assistant position at Carnegie Mellon University's Language Technologies Institute, where coursework involved designing intelligent information systems, and a role as a Senior Associate Technology at Morgan Stanley, where contributions included developing unsupervised learning systems for analyzing trade discrepancies. Hemant holds a Master of Science in Machine Learning and Natural Language Processing from Carnegie Mellon University and a Bachelor of Technology in Computer Science and Engineering from the National Institute of Technology Calicut.
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Ema
Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the Universal AI employee. We are founded by ex-Google, Coinbase, Okta executives, and serial entrepreneurs. We’re well-funded by the top investors and angels in the world. Ema is based in Silicon Valley with offices in Bangalore and is currently in stealth mode.