Upcoming Presenters

IEEE Denver Computer, Information Theory & Robotics Society, Computational Intelligence Society – Technical Meeting

May 20, 2026, 6:00 PM – 7:30 PM (MDT)

 

Scott Swindell

  • Founder & CEO, Software Engineering Leader and Architect
  • Teos Technology LLC, 3rdEye Movement LLC, US Department of Veterans Affairs

 

Mr. Scott J. Swindell is a software engineering leader, architect, and entrepreneur with more than twenty-six years of professional experience building complex software systems across healthcare, enterprise platforms, financial systems, and emerging AI-enabled applications. Mr. Swindell began programming at age seven on an Apple IIe and has spent decades designing software, mentoring engineers, and advancing practical software engineering practices. Mr.Swindell is the Founder and CEO of Teos Technology LLC, where he leads development of AI‑native platforms and modern cloud applications. Mr. Swindell also consulted for the U.S. Department of Veterans Affairs within the Veterans Health Administration, serving as a senior developer, architect, and team lead on mission‑critical healthcare systems. Mr.Swindell earned an M.S. in Computer Science from the University of Oklahoma, where he focused on developing software control systems for a prototype Mars rover platform.
Presentation: Retrieval Augmented Generation (RAG) Pipelines
Abstract: Large language models provide powerful capabilities for generating natural language responses, but systems built solely on generative models often suffer from hallucinations, outdated knowledge, and limited domain accuracy. Retrieval Augmented Generation (RAG) addresses these challenges by combining modern information retrieval techniques with generative AI models. In a RAG system, relevant documents are retrieved from external knowledge sources at query time and provided to the model as contextual input, enabling responses grounded in verifiable information. This talk explains the architecture of RAG pipelines and walks through the stages involved in building them, including data collection, document processing, embedding generation, vector search, retrieval, and prompt construction. Implementation approaches and tooling in both the .NET and Python ecosystems will be discussed, along with considerations for data curation, web scraping, and responsible engineering practices when building AI systems. Attendees gain practical skills to build accurate, production-ready AI systems using Retrieval Augmented Generation and real-world tools.

 

Location:

Join Zoom Meeting:               https://us06web.zoom.us/j/87123650774

Meeting ID: 871 2365 0774

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Invited: Everyone is welcome.

Cost: Free

 

 

IEEE Denver Computer, Information Theory & Robotics Society, Computational Intelligence Society – Technical Meeting

September 16, 2026, 6:00 PM – 7:30 PM (MDT)

 

Dana Irvin

 

Presentation: Embedded Systems Engineering

 

IEEE Denver Computer, Information Theory & Robotics Society, Computational Intelligence Society – Technical Meeting

October 21, 2026, 6:00 PM – 7:30 PM (MDT)

 

Franklin Powers

 

Presentation: Software Engineering

 

 

 

Call for future speakers

Are you a graduate (or undergraduate) student looking for an opportunity to present your Ideas, Thesis, Project, or Dissertation?
Are you a scientist, researcher, or professional looking to share your knowledge?

Here is your chance!

All Computer (HW / SW), Information Theory, Computational Intelligence, Robotics and Automation engineering and technology domains are welcome.

Here is what you need to provide:

  • A brief bio about yourself
  • Title for the presentation
  • Abstract of the topic
  • Your availability

 

We respect our speakers !

 

Contact us at cir.denver@ieee.org , and one of our volunteer officers will help you with the rest.

We are here to help you.