Summary
Mohamed Sriha is a Senior AI Engineer with nine years of experience building NLP-driven automation and detection systems, currently bringing GenAI to enterprise as part of deepset’s Haystack team. A Carnegie Mellon MS graduate and former Lead ML Engineer at BMO, he architected production NLP tools—such as an SAR narrative generator that cut investigator time by 65%—and led R&D efforts around LLMs in finance, explainability, and alert triaging. He blends research rigor with pragmatic engineering, delivering document summarization, real-time negative news retrieval, and handwriting recognition solutions that moved from prototype to production. Based in Chicago, he’s motivated by measurable impact and enjoys translating complex ML into tools that save time and reduce operational risk.
9 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Bachelor's degree at Institut Supérieur de Gestion de Tunis
Master of Science - MS Computer Science and Information Technology, Master of Science - MS Computer Science and Information Technology at Carnegie Mellon University
English, French, Arabic