Linear Algebra & Transforms

Vectors, matrices, decompositions, and transforms such as the FFT, implemented in C++ and Python and accelerated with CUDA and MLX.

Art of the Possible With AI

People are going to use more and more AI. Acceleration is going to be the path forward for computing. These [are] fundamental trends.
Jensen Huang, NVIDIA Co-Founder & CEO, Circa 2025

Modern Computing for AI

Michael Mallari, MS, MBA

Michael is an adjunct faculty member at Columbia University—teaching cloud computing, data & analytics, and AI. An engineer-by-trade and an MBA, he brings a combined 20+ years of industry hands-on experience in software engineering, product design, product management, and data science—having created and captured business value with AI, 5G, messaging, fintech, martech, mobile, and even Web 1.0 solutions (at the start of his career).

Thriving at the intersection of emerging tech, business strategy, and product sense, Michael has been entrusted with discovering, defining, delivering, and deploying next-gen solutions for Fortune 500 companies, including meaningful business outcomes for the following:

Michael has been a long-time ACM member—dating back to his undergraduate studies, when he was earning his BS in Computer Science from New York Institute of Technology. Subsequently, he earned his MBA from the University of Maryland, College Park, and MS in Applied Analytics from Columbia University.

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Designed and built by Michael Mallari.

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