AI, code, and sober field tests
A practical record of AI tooling, software systems, and the tradeoffs that survive real use.
For recruiters, teams, and collaborators who want a quick read on my experience, skills, projects, and who I am.
A few projects chosen for inspection, not decoration.
Turned an AI-assisted reporting application from proof of concept into a stable production solution for quality assurance teams, while continuing to extend it through close stakeholder collaboration.
Developed and improved an internal Python framework used across departments to standardize the deployment and operation of business-critical machine learning applications.
Led the technical development of a cloud-native platform for deploying and orchestrating AI agents that automate developer-facing workflows.
A few recent posts worth your reading time.
In this post, you'll use pytest's parametrize decorator to write less repeated test code and keep more test cases easy to maintain.
What are pytest fixtures, and why should you use them? This post explains how fixtures keep tests independent and help you reuse setup code.
In this post, you will design and implement your first unit tests in a small Python project, structure them clearly, and run them with pytest.