João Emílio
MLOps Engineer at Trustly
São Paulo, Brazil
Summary
🤩
Rockstar🎓
Top SchoolJoão Emílio is an MLOps Engineer based in São Paulo with 11 years of experience building and operationalizing machine learning systems across fintech, gaming, and retail. He holds an MSc in Computer Science and has delivered end-to-end ML pipelines, low-latency feature stores, and monitoring solutions at companies like Trustly, Nubank, and Wildlife Studios. His background spans recommender systems at scale, credit policy experimentation, and production-grade deployment/monitoring practices, often working with Python and Spark. Notably, he combines academic research experience in time series and ensemble methods with hands-on MLOps execution, making him comfortable both with model research and the engineering needed to run models reliably in production.
11 years of coding experience
9 years of employment as a software developer
MSc, Computer Science, MSc, Computer Science at Universidade Federal de São Carlos - UFSCar OficialBSc, Computer Science, BSc, Computer Science at Universidade Federal de Alfenas
Portuguese, English
Github Skills (23)
deploying9
aws9
amazon9
huggingface9
python8
machine-learning8
mxnet8
sagemaker8
pytorch8
machine-learning-models8
tensorflow7
amazon-sagemaker7
data-analysis6
data-science6
ml3
Programming languages (2)
Github contributions (5)
ajmemilio/fklearn
Jun 2020 - Oct 2020
fklearn: Functional Machine Learning
Contributions:2 pushes in 3 months
pythonmachine-learningdata-science
beblueapp/fklearn
Apr 2020 - May 2020
fklearn: Functional Machine Learning
Contributions:2 PRs, 6 pushes, 1 branch in 18 days
pythonmachine-learningdata-science
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