Joey Rahman

Engineering Manager at Granica

Joey Rahman is an Engineering Manager at Granica since May 2022, overseeing Infrastructure and Data Infra. Previously, Joey worked as a Staff Engineer at Twilio Inc. from December 2015 to May 2022, focusing on Productivity Engineering, DevOps, Reliability Engineering, and technical leadership. Joey's experience also includes a role as a Senior Software Development Engineer at Polycom, where responsibilities included the development of common components for various products. Earlier career positions include a Teaching Assistant at Colorado State University and a Software Development Intern at TerraFrame, as well as a Research Intern at INRIA. Joey holds a Master of Science degree in Computer Science from Colorado State University, completed in 2011.

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Austin, United States

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Granica

Granica is an AI research and systems company helping enterprises leverage AI efficiently and safely. Our mission is to make AI 10,000x better. We believe data is the first-mile problem to solve in this mission. Our first system is a novel training data platform for enterprise AI that unlocks efficiency and privacy through our flagship services tailored for Generative and Traditional AI: Granica Crunch is a family of advanced data compression/reduction models which enable AI/ML teams to add and use more data to improve their ML accuracy and performance while controlling their infrastructure costs. Crunch delivers deep cost efficiencies for data at any scale, at rest and in use. Granica Screen is an advanced data privacy-enhancing service that unlocks even more data for AI/ML teams to safely improve model performance. It guarantees state-of-the-art privacy at scale, enabling Private LLMs and Privacy-preserving AI. Granica Chronicle is a deep data visibility service for disparate AI data stores. Enabling unification, collaboration and insights into data usage for AI and ML. Our research is deeply rooted in information science, machine intelligence, computer vision, natural language, and distributed systems, with a special emphasis on elevating the efficiency and safety of AI systems through fundamental and innovative research. We're backed by remarkable institutional investors in AI, Data, and Cloud; and several industry luminaries in business and technology.


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11-50

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