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 (48)
webix8
netlify8
nlg8
page-builder7
slide7
r7
hugo7
open-science7
hugo-theme7
rstudio7
rmarkdown7
nlp6
api6
language-modeling6
gluon6
Programming languages (4)
Github contributions (5)
DigitalSlideArchive/dsa_girder_webix_base_viewer
Dec 2016 - Jul 2017
This is a Webix Based Viewing application template for the DSA that uses Girder API
Contributions:91 commits, 90 pushes, 2 issues in 7 months
dsaapigirderwebixtemplate-application
mohammedkhalilia/iRFCM
Dec 2013 - Mar 2014
Contributions:71 commits in 3 months
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