Nick Herrig is a pragmatic Field Engineer and former lead software engineer with eight years of cross-industry experience spanning industrial engineering, finance, entertainment, non-profit, and agri-tech startups. He blends process-improvement rigor from an Industrial Engineering degree (Iowa State) with hands-on software and computer vision work—deploying CV on Nvidia Jetson devices and contributing ML-focused docs and examples to Roboflow’s popular supervision project. At Nebullam he shipped revenue-driving products and novel integrations (Shopify subscriptions, IoT/POS stacks, and a LangChain/OpenAI Slack bot), demonstrating an ability to turn prototypes into profitable operations. Comfortable across Python, Go-in-progress, web fundamentals, and edge deployments, he excels at translating business needs into data-driven automated systems. An ENTJ with strengths in futurism and execution, he favors measurable impact and rapid iteration to unlock new revenue streams. Based in Des Moines, he’s focused on expanding practical computer vision and automation solutions across the Midwest.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering (B.E.), Industrial Engineering, Bachelor of Engineering (B.E.), Industrial Engineering at Iowa State University
Contributions:4 PRs, 4 comments, 2 issues in 6 months
Contributions summary:Nick's contributions center around adding and refining the "supervision assets cookbook" and examples, which guide users in using the Supervision library with available assets. These changes involve creating and correcting documentation, specifically using Jupyter notebooks to demonstrate how to download, and display video assets. The user is working with Python and the IPython display framework.
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