Matthew Taylor is a seasoned digital creator and software engineer with 14 years of professional experience building large-scale, machine learning-driven search and analytics systems and a long history of full-stack enterprise development. He has led technical efforts as a CTO and "mad scientist" in ML/NLP, deploying LLMs, SVMs, and cloud-native infrastructures (AWS, Kubernetes, Docker) while also shipping production systems using Java, Clojure, and modern Python frameworks. Equally comfortable in art studios and codebases, Matthew previously ran a successful art business and now fuses that creative practice with software to produce digital art and tools. His career spans startups and enterprise teams where he designed authentication, containerization, and visualization features for complex datasets, often translating research ideas into practical products. Known for patience, grit, and a taste for experimentation, he brings an artist’s eye to engineering problems and a developer’s discipline to creative projects. Based in Plano, Texas, he’s open to collaborations that blend art, ML, and scalable cloud systems.
Contributions:173 pushes, 1 branch in 1 year 11 months
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