Gabriel Zaccak

I’m a computer scientist focused on scalable AI systems. I started my career building distributed services for major broadcasting networks like NPR, XM, FranceTV, ABC, and CBC, helping them collaborate across locations.

I got into AI during grad school at MIT CSAIL, where I built interactive tools using natural language for information access — things like automated lecture processing, Q&A systems, and software agents. I also interned at Google, which gave me a firsthand look at machine learning at scale.

I’ve exited two startups: one in EdTech, where I created a training and assessment platform now integrated into Elsevier’s Sherpath, a leading nursing education platform; and doc.ai (acquired by Sharecare), where I led the machine learning platform and solutions teams. There, I worked through the complexities of healthcare to build models serving 100 million members, and pushed forward edge computing and private ML — work that helped secure a $100 million contract from Anthem BCBS.

After Sharecare, I consulted on AI strategy for large firms and startups. Most recently, I founded Vivify, a platform for creative education. We released three products: classes, pods for collaboration, and data annotation tools for AI labs. Vivify helped 2D art teachers scale their work without burnout using AI-powered tools — boosting student success by over 90%, increasing teacher income by 10x, and keeping learning going after live sessions ended.

I’m now a Member of Technical Staff at FutureHouse.