Network / utility tooling
Small scripts for scanning, parsing, automation, and diagnostics. Built for clarity and reuse.
Python
I use Python as a practical tool: automation, quick prototypes, and support tooling for lower-level and embedded work. Below are a few projects and experiments, with code linked on GitHub where available.
Featured projects
Math + study helpers
Python used to explore maths topics, generate examples, and validate calculations while studying.
Embedded support scripts
Small tools that support embedded experiments: logging, data shaping, and workflow helpers around microcontroller work.
What I’m focusing on
- Readable, well-structured scripts (not “one giant file”)
- Tooling that supports C / embedded work
- Math + validation code to reinforce understanding
- Small experiments that are easy to test and extend