Python • AWS • IAM
IAM automated users
Automating IAM user workflows using boto3 (repeatable, auditable, safer than manual).
I build repeatable workflows: scripts that reduce manual steps, make systems safer, and keep deployments predictable. This page is a curated index — the full proof (code, READMEs, commit history) lives on GitHub.
I’m building toward cloud engineering through a Python-first approach: automate the boring parts, document the system, and make it easy to run again tomorrow.
I focus on repeatability: scripts over click-steps, least-privilege over “admin everywhere,” and clear READMEs that explain what the project does and how to run it. When something breaks, I want logs and structure that make the fix obvious.
It’s the fastest path from idea → script → reliable workflow (and boto3 makes AWS programmable).
Small tools, clean repo structure, and building habits that scale past beginner projects.
Automation scripts, cloud setups, and deployable projects with practical documentation.
My main focus is Python for automation — scripting AWS tasks with boto3 and building CLI tooling that makes work repeatable.
Program AWS tasks (IAM, S3, EC2) with predictable scripts instead of manual console steps.
Small command-line apps with clean inputs, safe defaults, and clear output.
Logging + error handling so scripts fail loudly instead of silently doing the wrong thing.
Simple modules, reusable helpers, and consistent repo layouts so projects stay maintainable.
Rule: if a task can be done twice, it should become a script.
Readable README, clear setup, and scripts that fail safely with useful error messages.
If the workflow needs a checklist every time, it should become a command.
Least privilege, cost awareness, and clean structure over “it works once.”
Tools I’m actively using across builds (Python is the center of gravity).
boto3, scripting, CLI tooling patterns, and disciplined error handling.
IAM, S3, EC2, CloudFront, CloudWatch (fundamentals + automation).
Shell workflows, SSH, and small scripts that glue systems together.
Static HTML/CSS sites with fast deploys and clean structure.
Current focus: deepen AWS fundamentals and build a Python automation library that covers common tasks: IAM workflows, S3 deploys, EC2 routines, and CloudWatch logging.
More boto3 scripts + stronger logging conventions across repos.
Reusable modules, config files, safer defaults, and better testing habits.
Ship projects that prove engineering habits: security, cost, reliability, clarity.
Email is best. If you’re referencing a repo, paste the link and describe what you want reviewed or improved.