About sheley
"Find your passion, learn how to add value to it, and commit to a lifetime of learning." Ray Kurzweil
Sheley Rayne is a retired technology instructor, technical writer, and independent researcher with a background in pulse-power diagnostics, instrumentation systems, and STEM education. She began her career as the first woman in her program to graduate in Instrumentation and Control Technologies and was later hired as a diagnostic technician at Sandia National Laboratories, where she worked on fusion and pulse-power systems, including PBFA-II. Her work included technical documentation, system instrumentation, programming, robotics, and diagnostic instrumentation, as well as experience training others in advanced technical environments.
Following her laboratory career, she spent more than thirty years in education, teaching electronics, robotics, CAD, biomedical sciences, and engineering design. She also served in program leadership roles coordinating STEM initiatives, student assessment systems, and grant-supported programs, and founded a private school serving at-risk students. Her work included curriculum development, technical training, data archiving, and institutional documentation.
Her interest in artificial intelligence emerged through creative and technical collaboration with language models, which led to the systematic documentation and archival preservation of human–AI interactions beginning in 2025. Through the Heart and Code project, she serves as participant, archivist, and independent observer, maintaining structured conversational records and analyzing the evolving dynamics of human interaction with generative AI systems.
Sheley Rayne is also a published author and continues to focus on writing, research, and the preservation of emerging human–AI collaborative processes. After a thirty-year career in technology and STEM education, she now focuses on independent research, writing, and documentation of human–AI interaction. Her current work focuses on preserving primary-source records of human interaction with generative AI systems for future research and historical analysis.