Saif Ahmed
Saif studied Computer Science at Cornell University and Information and Data Science at UC Berkeley. He won the Hal Varian Award for best Master’s project, for early work (2016) on generative AI in original rap lyrics generation and model-driven instrumentals production, DeepJams.
Inspired by his thesis research at Cornell on real-estate simulations, Saif helped launch some the earliest feature-driven quantitative xMBS/CDO trading systems at hedge funds. Semi-retired from his finance career, Saif is now an SVP at an advertisement firm helping lead one of the largest global build-outs of AI-driven creative/marketing systems. He spends his free time at Princeton cafes on semi-academic AI endeavors.
Henna-NET is a nights-and-weekends project seperate from my daytime duties at Omnicom Group (NYSE: OMC) and sparks&honey. This project is also completely separate from my University teaching, portfolio companies, and Directorship duties.
We thank Google Cloud and Huggingface for their generous free tiers and providing cloud credits via hackathons. The balance of costs are solely funded by my family via Maiden Voyage Venture Partners, LLC.
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