Debajyoti "Deb" Ray / Founder and CEO
Debajyoti (Deb) Ray leads the creation of RivetAI’s artificial intelligence platform.
Previously, Deb was the Chief Data Officer for VideoAmp, a cross-screen data and buying platform for digital video and TV advertising, where he now serves as an Advisor. Prior to that, he founded Pasadena Labs, where he built a ML-based hyperlocal ad platform used by clients such as Microsoft and IAC. He developed computer vision products at Microsoft Research, and deep learning algorithms for high-frequency trading.
Deb has been awarded several patents and his publications are highly cited. Deb completed his PhD at Caltech in Computation and Neural Systems. Additionally, he is an investor in several AI companies, and a Fund Advisor in the VC firm Signalfire.
Sadaf Amouzegar / Data Scientist
Sadaf Amouzegar’s work at RivetAI involves using Bayesian statistics, natural language processing, predictive analytics, and deep learning to create data-driven platforms that empower the art of storytelling.
She obtained her B.S. in Computer Science from the California Institute of Technology in 2015. Since then, she has applied and honed her skills on projects ranging from image-based activity recognition to rocket engine anomaly detection and distribution optimization for retail supply chains.
Prior to joining RivetAI, Sadaf worked as a software engineer and data scientist at a number of institutions such as Qualcomm, Smartrac, and SpaceX. When she is not busy mining and crunching data, Sadaf likes to write poetry, read, and play guitar.
Nathan Crockett / Software Engineer, Data Visualization
An astrophysicist by training, Nathan Crockett leverages his experience working with unique datasets to create data visualizations at RivetAI. He also develops full stack web applications for RivetAI’s suite of SaaS products.
Prior to entering the tech industry, Nathan was a postdoctoral scholar at Caltech. His research focused on using molecular emission to study star and planet formation and understand the origins of organic molecules in space. Before that, Nathan earned his PhD in Astronomy and Astrophysics at the University of Michigan, where he led a team that modeled the chemical emission from a broadband spectrum (the largest of its kind) toward the Orion Molecular Cloud.
Before joining RivetAI, Nathan worked at Malachiarts, a tech consultancy based in Southern California. He also holds a BS from the University of Arizona in astronomy and physics.