Summary
Muhammad Huzaifah is an Artificial Intelligence Engineer based in Singapore with nine years of experience building deep learning systems for audio, speech and multimodal applications. He completed a PhD in AI at the National University of Singapore and has transitioned academic research on generative audio models into applied work leading teams at A*STAR and now Recho AI. As Senior Scientist he led a seven-person speech team contributing to MERaLiON, a Singapore-focused multimodal LLM under a national $70M programme, demonstrating his ability to ship research-driven systems at scale. His background spans signal processing, EEG brain–computer interface work, robotics middleware and music synthesis, giving him a rare cross-disciplinary perspective on audio and interaction. Actively publishing and maintaining code on GitHub, he blends rigorous research (Google Scholar presence) with practical PyTorch engineering and data-collection expertise. Colleagues describe him as a creative problem solver who pursues learning algorithms that make everyday experiences brighter and more engaging.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Imperial College London
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at National University of Singapore
English, Malay, Japanese