Jeffrey Schmidt
AI Solutions Supervisor at Toyota Material Handling North America
New Jersey, United States
Summary
👤
Senior🎓
Top SchoolJeffrey Schmidt is an AI Solutions Supervisor with 11 years of experience applying data science, machine learning, and systems engineering to industrial and manufacturing problems. He has led edge-to-cloud real-time data pipelines, deployed analytics and data science stacks in Azure, and built predictive models and automated reporting to cut service costs at The Raymond Corporation. Now supervising AI solutions for Toyota Material Handling North America, he blends hands-on algorithm development (including GA for scheduling) with practical deployments like ELK and RMarkdown automation. Trained in systems science and computer science, he pairs academic research on temporal network dynamics with a pragmatic focus on production-ready tooling. A detail that stands out: he has repeatedly turned complex academic ideas into applied solutions for precision manufacturing and operations optimization.
11 years of coding experience
10 years of employment as a software developer
MS, Systems Science, MS, Systems Science at State University of New York at Binghamton
Github Skills (7)
arxiv8
pdf6
gradient5
financial5
deep-learning4
deep-reinforcement-learning4
reinforcement-learning4
Programming languages (1)
Github contributions (5)
schmidtj/PyGNA
Dec 2014 - Jul 2015
Contributions:1 release, 12 commits, 4 pushes in 7 months
schmidtj/G-Trie
Dec 2014 - Jul 2015
Contributions:7 commits, 3 pushes in 7 months
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