Summary
Miradeljan Muhammad is an NLP-focused researcher and engineer with a decade of experience bridging academic research at Tsinghua University and production ML at Alibaba DAMO Academy. Currently a Ph.D. candidate advised by Maosong Sun and Yang Liu, he specializes in neural machine translation for low-resource and morphologically rich languages (e.g., Arabic, Turkish, Uyghur, Mongolian) and domain adaptation for NMT. He has delivered practical systems work—shipping Urdu-Roman transliteration and unsupervised morphological segmentation methods integrated into international e-commerce dialogue systems—and has implemented both Java and Python production components. His background spans computational morphology, speech technologies, multilingual platforms and end-to-end product development from his CTO and early software engineering roles. Known for combining rigorous research with pragmatic engineering, he focuses on solutions that scale across diverse languages and real-world services.
10 years of coding experience
12 years of employment as a software developer
B.S., Computer Science and Technology, 3.74, B.S., Computer Science and Technology, 3.74 at Xinjiang University
Ph.D. Candidate, Computer Science and Technology, Ph.D. Candidate, Computer Science and Technology at Tsinghua University
Chinese, Uzbek, Kazakh, English, Japanese, uyghur