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Mack Yi

Head Of Engineering (new Products) at Granica

Mack Yi has a diverse work experience in the tech industry. Starting in 2013, they worked as a Dev Intern at Sporting Innovations. In 2014, they interned as a Software Engineer at Google, and the following year, they interned at Facebook in the same role. Mack then joined Airbnb in 2016 as a Software Engineer and stayed with the company until 2021. Currently, they are the Head of Engineering (New Products) at Granica.

Mack Yi attended Duke University from 2012 to 2015, where they completed a Bachelor of Science (B.S.) degree in Electrical and Computer Engineering, with a focus on Computer Science.

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San Francisco, 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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