Language And Logic: Mustafa's Journey Into AI Research
Red Hat News, Friday, April 18th, 2025
My journey with artificial intelligence (AI) began with my deep-rooted passion for both computer science and philosophy. I found myself drawn to natural language processing (NLP), where the study of formal logic, languages and semantics seamlessly connect to a world of computer algorithms, graphs and networks. That curiosity led me to research and ultimately to Red Hat's AI engineering team.
I first joined Red Hat as an undergraduate intern on the performance and scale team. After joining Red Hat full-time, I began working on MLCommons MLPerf AI inference optimization, as well as leading development for the CodeFlare/Ray distributed machine learning (ML) training stack for Red Hat OpenShift AI. At the same time, I dove further into NLP research in graduate school, where I focused on topics like speech recognition, language model reasoning and natural language to structured query language (SQL) translation.