Mariah Sonja
Senior Machine Learning Engineer at Solventum
Ireland
Summary
👤
Senior🎓
Top SchoolMariah Sonja is a Senior Machine Learning Engineer with nine years of multidisciplinary experience building and deploying production AI systems across healthcare and industrial settings. She combines hands-on MLOps skills—Python, Docker, Kubernetes, Jenkins, cloud platforms and API gateways—with a background in business strategy and product-focused analytics gained from roles at Optum, 3M and Solventum. Fluent in Portuguese and English with advanced Spanish, she brings strong vendor negotiation, project leadership and cross-cultural collaboration from work spanning Africa, Europe, South America and the Middle East. A former co‑founder and entrepreneur, Mariah pairs technical execution with commercial sensibility and a track record of rapidly learning new technologies to unblock teams and deliver impact. She holds formal training in computing and data science plus postgraduate credentials in business intelligence and corporate strategy, making her adept at turning complex data science into actionable business outcomes.
9 years of coding experience
11 years of employment as a software developer
Higher National Diploma, Science in Computing - Cloud Stream, Higher National Diploma, Science in Computing - Cloud Stream at National College of IrelandPEC - Postgraduate, Business Intelligence - Corporate Strategy, PEC - Postgraduate, Business Intelligence - Corporate Strategy at FGV - Fundação Getulio VargasData Scientist, Data Scientist at UdacityBachelor's Degree, Business Administration, Bachelor's Degree, Business Administration at Universidade FUMEC - Oficial
Github Skills (3)
flask-application4
pipenv3
python2
Programming languages (1)
Github contributions (5)
mariahsonja/natural-language-processing
Nov 2020 - Feb 2021
Contributions:26 commits, 31 pushes in 2 months
mariahsonja/app-pipenv
Aug 2019 - Dec 2020
A simple Flask application using Pipenv and Python 3.7.4
Contributions:16 commits, 18 pushes, 3 branches in 1 year 3 months
flask-applicationpipenvpython
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