Cole Medin
Artificial Intelligence Educator And Innovator
Greater Minneapolis-St. Paul Area United States
Summary
🤩
Rockstar🎓
Top SchoolCole Medin is an AI educator and builder with seven years of experience creating practical generative AI solutions—from custom agent architectures and RAG systems to local deployments—while teaching others to do the same through his Dynamous company and popular YouTube channel. As founder of Dynamous and CTO at oTTomator, he combines hands-on engineering (Streamlit UIs, LangChain backends, tool-enabled agents) with community-led education, running a private AI mastery community that bridges code and no-code approaches. His background includes delivery-focused software roles at Ameriprise and teaching experience at the University of Minnesota, giving him a knack for translating complex ML concepts into production-ready workflows. Notably, his ai-agents-masterclass repo mirrors his video series, providing reproducible full-stack agent examples that reflect his emphasis on practical, tool-augmented AI.
7 years of coding experience
4 years of employment as a software developer
Computer Science, Software Engineering, Computer Science, Software Engineering at University of Minnesota
Stackoverflow
21reputation
6kreached
1answer
3questions
Github Skills (15)
openai10
streamlit10
ai-agent10
chatterbot10
python10
langchain10
chatbot10
heap-memory6
nodejs6
npm6
nextjs6
google-cloud-functions6
javascript6
material-ui6
ansible6
Programming languages (2)
Github contributions (5)
coleam00/ai-agents-masterclass
Jun 2024 - Feb 2025
Follow along with my AI Agents Masterclass videos! All of the code I create and use in this series on YouTube will be here for you to use and even build on top of!
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:1 PR, 35 pushes, 1 branch in 7 months
Contributions summary:Cole implemented both frontend and backend components for an AI agent application. They developed a Python-based backend utilizing the LangChain framework, with code that incorporates tool use for Asana task management. In addition, the user built a Streamlit-based chatbot UI to interact with the AI agent. They also refactored the Streamlit UI to support a full task management agent incorporating multiple tools and then further built a RAG (Retrieval Augmented Generation) agent.
Cardinal-House/Cardinal-House-Frontend
May 2022 - May 2023
Contributions:104 pushes, 1 branch in 11 months
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