Unbox is a collaborative quality assurance platform for machine learning. We make it easy for ML teams—and not just engineers, but also PMs, managers, and non-technical people—to find failures and biases in models, identify their root causes and create unit tests to make sure they will never happen again.
I’m a Brazilian engineer and one of the co-founders of Unbox. Previously, I was a Machine Learning Engineer at Apple where I worked at several different areas in Siri, combining multimodal signals for natural language. Before that, I completed my master's in Computer Science at Carnegie Mellon where I had the opportunity to work at the Amazon’s Alexa Prize project. I love the combination of artificial intelligence applications and computational social science!
Hi! I'm working on product at Unbox (S21). Before this, I did R&D on future experiences at Siri / Apple. And before that, undergrad & late-night halal carts at NYU.
Co-Founder of Unbox. Ex-Apple, Yale grad interested in making artificial general intelligence a reality.