Founding Research Scientist at Uplift AI

We build SOTA voice models for regional languages — Urdu, Bengali, Pashto, Greek, and more — so people around the world can use technology by simply speaking. We gather our own data, build our own labeling tools, train our own models, and design our own voice infrastructure. This fully integrated approach is what lets us deliver the highest-quality models, and the best developer experience, for regional languages. Over 60% of the world's population only speaks a regional language. Today voice models aren’t good enough in their languages. Large tech companies are unable to give this work tier1 priority because they are busy defending their primary business. Infact, in all big labs regional languages are funded by Marketing/PR budgets. If UpliftAI doesn’t do its work, a large part of the world may continue to experience significant AI technical lag — further worsening the income divide between countries. Hammad left Apple and took a year off to figure out what to do in the next phase of his career. During this time, he started a side project gathering data for Pakistani languages so people could talk to ChatGPT by speaking (this was before they supported voice mode). To gather this d