Mohammed Khalilia
Lead Data Scientist
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolMohammed Khalilia is a Lead Data Scientist with 12 years of experience applying machine learning to healthcare, speech, and signal processing problems. He has led production ML efforts at Amazon and Qualtrics—ranging from Comprehend Medical NLP and readmission prediction to LLM fine-tuning, anonymization, and multimodal speech-vision models. His work blends research-grade pattern recognition and patient-similarity methods with hands-on engineering: cloud deployments, ETL, active learning, and mentoring cross-functional teams. As an adjunct professor and former postdoc, he bridges academia and industry, turning TCGA and clinical data into reproducible tools and dashboards. Now based in Seattle and recently taking on a Lead Data Scientist role at Aramco, he continues to scale AI systems that sit at the intersection of computational health and generative models. An understated strength is his track record of operationalizing research—moving complex models from prototype to production while mentoring the next generation of practitioners.
12 years of coding experience
8 years of employment as a software developer
University of Missouri
Arabic, English
Github Skills (39)
nlg8
netlify7
r7
named-entity-recognition7
webix7
rstudio7
rmarkdown7
dsa6
hugo-theme6
hugo6
nlp5
natural-language-processing5
github-pages5
natural-language-understanding5
gluon5
Programming languages (4)
Github contributions (5)
mohammedkhalilia/iRFCM
Dec 2013 - Mar 2014
Contributions:71 commits in 3 months
mohammedkhalilia/mohammedkhalilia.github.io
Oct 2016 - Jun 2020
Contributions:57 pushes in 3 years 8 months
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