Summary
Mohamed Anwar is an Applied Scientist II at Microsoft Bing with nine years of experience advancing NLP and speech processing research and products. He previously served as an AI Research Resident at Meta where he co-created MuAViC, a public benchmark for audio-visual speech translation, and published work on AV-HuBERT extensions. His background spans industry R&D and internships that produced production-grade ASR, TTS, voice biometrics, and NLU systems, demonstrating strength in both research and engineering. Mohamed maintains an active practice of distilling research through his blog, has solved 900+ LeetCode problems, and brings a multipotentialite curiosity—he’s read over 380 books—which fuels rapid learning across modalities. Located in New York, he blends rigorous academic training with hands-on system-building to make multimodal speech and text models more robust and deployable.
8 years of coding experience
3 years of employment as a software developer
Bachelor's, Computer and System Engineering, Bachelor's, Computer and System Engineering at Ain Shams University
Master's degree, Machine Intelligence, Master's degree, Machine Intelligence at African Institute for Mathematical Sciences (AIMS)
English, German, Arabic