This repository documents my progress as I learn AI engineering through courses, experiments, and personal projects. My goal is to track my growth over time and gradually turn these smaller experiments into more complete AI engineering projects. I'm also building this repository to be easy to follow, so anyone who's interested in these contents can check it out!
This week I’m learning the core ideas behind LLM-powered applications and how to actually connect language models to Python projects and build with them.
Key concepts:
- Prompt engineering with system and user roles
- Using LLM APIs inside Python applications
- Structuring model inputs and responses for real use cases
- Secure API key and environment management
- Turning raw external data into usable model input
- Building small end-to-end AI workflows
Built a simple AI-powered resume evaluator that parses a resume, compares it against a job description, and uses an LLM to provide a direct candidate-fit assessment.
📁 week-01/experiments/JobFitEvaluator/