This repository tracks my journey from AI governance theory to practical Python implementation.
- Domain 1: Data Foundations (Preprocessing, EDA, Quality)
- Domain 2: Architecture & Models (Model Training, Evaluation)
- Domain 3: AI Orchestration (APIs, RAG, Tooling)
- Domain 4: Governance & Safety (Bias Audits, Privacy-by-Design)
| Project | Phase | Status |
|---|---|---|
| e.g., Sentiment Analyzer | Data Foundations | In Progress |
This project strictly adheres to privacy-by-design. All datasets used are [select one: synthetic / anonymized / public domain]. No PII (Personally Identifiable Information) is processed or stored.