Summary
Zack Hodari is a research engineer with 11 years of experience specializing in speech synthesis, prosody, and large generative speech models, holding a PhD from the University of Edinburgh. He has driven production-impacting research at Amazon (improving audiobook expressivity with LLMs), Google (prosody with transformers), and Papercup (AI dubbing and speech-to-speech translation), and now builds conversational companions at Sesame. Comfortable spanning the full ML stack, he combines model design, data quality, and product-focused research as a tech lead to deliver user-facing improvements. Zack has published at top conferences, is an inventor on submitted patents, and frequently speaks publicly—including invited keynotes and a Three Minute Thesis finalist slot. He also brings teaching experience, having designed and delivered a master’s-level ML course and taught hundreds of students to build speech synthesis systems. A less obvious strength is his track record of translating deep academic work into measurable product goals reported at executive levels.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Generative models for text-to-speech synthesis, Doctor of Philosophy (Ph.D.) Generative models for text-to-speech synthesis at The University of Edinburgh
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Durham University