David Gibbs is a seasoned software leader and co-owner with 11 years building high-performance, data-driven platforms for clients ranging from non-profits to international enterprises. He specializes in graph analysis, large-scale data processing, and cloud-native architectures that power high-throughput ingestion, visualization, and analytics. His graduate research and MIT Media Lab collaborations led to GPU-accelerated graph mining and globally distributed education deployments, and he was the first student at Georgia State granted root access to run production-grade workloads on their supercomputer. At Snaptech and Curious Learning he has steered cross-border engineering teams and delivered scalable systems for finance, social media analytics, and international hardware/software rollouts. Practical, research-informed, and operations-savvy, he combines deep algorithmic experience with hands-on platform building and a track record of enabling researchers and organizations to analyze complex datasets at scale.
11 years of coding experience
8 years of employment as a software developer
Associates, Electronic Computer studies, Associates, Electronic Computer studies at DeVry University
Master of Science (M.S.), Computer Science, 4.12, Master of Science (M.S.), Computer Science, 4.12 at Georgia State University
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