Mohammed Saeed is an Applied ML Engineer with eight years of experience building and deploying LLM-driven solutions, currently working on localizing Apple Intelligence. He transitioned from an AIML residency at Apple focused on morphologically rich languages to applying LLMs in production as a Machine Learning Scientist at Egencia (American Express GBT). He holds a PhD in Machine Learning from EURECOM/Sorbonne Université and combines deep research experience with production engineering. Mohammed’s work spans structure-aware models and LLMs, and he brings practical expertise in adapting large models to multilingual, morphologically complex settings. Outside of work he plays squash and music, reflecting a balance of analytic rigor and creative practice.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Sorbonne Université
Diplôme d'Ingénieur, Data Science & Engineering, Diplôme d'Ingénieur, Data Science & Engineering at Télécom Paris
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at EURECOM
Bachelor’s Degree, Electrical and Electronics Engineering, Bachelor’s Degree, Electrical and Electronics Engineering at Lebanese University - Faculty of Engineering III
Contributions:60 pushes, 8 branches in 4 years 7 months
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