Fatima Ali

Conducted phonetic and syntactic QA of Arabic speech data across dialects, evaluated speech flow and pronunciation, and provided engineering teams with feedback on model inconsistencies.

Evaluated Arabic speech recordings for articulation clarity and dialect accuracy, annotated vocal features (hesitation, disfluencies, pacing), and provided feedback to improve voice agent tuning and cultural alignment.

Reviewed Arabic ASR outputs for phonetic accuracy and prosodic variation, assessed clarity and vocal tone across recording environments, and delivered structured QA reports refining annotation guidelines.

Analyzed prosodic features and phrasing in TTS/STT outputs, annotated audio for articulation, rhythm, and naturalness, and flagged edge cases such as creaky or breathy delivery.

Pursuing a Master's in Data Science with coursework in machine learning, statistical modeling, and natural language processing.

Completed a Diploma in Mathematical Statistics covering statistical methods and data analysis techniques.

Earned a Bachelor of Arts in Linguistics and Translation with focus on English–Arabic translation and linguistic studies.