Cole Smith is a machine learning and parallel computing specialist with 10 years of experience building production AI systems across finance, telecom, retail, and health tech. As a co-founder of Opal and former technical lead at ASAPP, he has delivered efficient in-house LLMs and structured summarization that produced six-figure annual savings and measurable workflow reductions. His background spans full-stack iOS and embedded robotics research—winning a Best Paper award at LOD 2020 and earlier entrepreneurial research recognition for an inexpensive 360° laser range-finding method. At Morgan Stanley he productionized multimedia transformer models and automated summarization that cut reading time by up to 80%, and he’s repeatedly fused research rigor with pragmatic engineering. An active open-source maintainer and Unix enthusiast, he contributes tooling and data-science projects on GitHub and has prior contributions to Scikit-Learn. Based in Tampa, Cole blends startup leadership with deep research instincts and a continual appetite for learning.
10 years of coding experience
8 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at New York University
High School, High School at Shorecrest Preparatory School
Contributions:37 commits, 2 PRs, 37 pushes in 6 months
rsynclinuxbackup-scriptcomprehensivebackup
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