analogIC is my public notebook: every lecture lands in markdown, the toolchain stays open, and everything is bundled into one book for students, hobbyists, and engineers who want to follow along.

The project now sits under AI-Silicon, where I test AI copilots, reproducible scripts, and open-source tools for real analog flows. Here you will find:

  • concise lecture notes and workshop slides,
  • reproducible SPICE and Python projects,
  • links to the public repos, datasets, and experiments that document what I am building.

If that mix of teaching, tooling, and open-source work resonates with you, reach out and help push analog design toward more transparent, collaborative practices.