Hate-speech detection for Amharic

Content moderation models that work beautifully in English collapse on Amharic and other low-resource Ethiopian languages. The training data barely exists, the scripts and morphology differ sharply from high-resource languages, and commercial APIs simply do not cover them. At AdotSense I built moderation models for these languages from the ground up.

Working from refined social media data, I trained TensorFlow text-classification models to recognize hate speech and misinformation patterns, then deployed them inside an automated content analysis system that ran against live content. The pipeline covered the full lifecycle: data refinement, training, evaluation, and production serving behind a Python API.

Very few ML engineers anywhere have shipped production NLP for low-resource African languages. It remains the work I am proudest of, and it shaped how I think about building AI where the convenient defaults do not exist.