San Francisco, California, United States
Leading the Analytics and Data Intelligence (ADI) team, formerly RAPIDS, at NVIDIA to accelerate data analytics, data science, and vector workloads. We're hiring!
HEAVY.AI (formerly MapD/OmniSci) leverages the massive parallelism of GPUs to make analyzing and visualizing massive datasets instant, powerful, and effortless. With HEAVY.AI, analysts and data scientists can query and visually explore multi-billion record datasets interactively and in real-time. Investors in OmniSci include NEA, Google Ventures, NVIDIA, Vanedge, Verizon Ventures, and In-Q-Tel.
I founded HEAVY.AI after finding that conventional analytics platforms struggled to provide interactive insights at scale when conducting my graduate school research on the role of Twitter in the Arab Spring. I found that by leveraging the full parallelism of modern hardware, GPU and CPU, one could query, render, and visualize multi-billion row datasets without needing to downsample, index, or pre-aggregate. I soon discovered that my pain point was shared by vast swaths of analysts, data scientists, and data practitioners, who yearned for an agile and effortless way to analyze and visually explore the massive datasets that their organizations were accumulating but could not extract value from. Realizing that the problem was bigger than just the difficulties I was encountering in my own research drove me to build a company around the core initial technology. As CEO, I presided over the acquisition of marquee customers like Verizon, Charter, Pfizer, Telus, IHS, USAA, and many others, as well as raised $92M in funding from Google Ventures, In-Q-Tel, NEA, Nvidia, Tiger Global, Vanedge Capital, and Verizon.
Research on GPU databases
Computer analysis of social media in the Middle East
Translated news articles from Arabic-to-English for Egypt's leading independent newspaper.