Thaise Quiterio
Machine Learning Engineer at Eneco
Rotterdam, South Holland, Netherlands
Summary
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Senior🎓
Top SchoolThaise Quiterio is a Machine Learning Engineer based in Rotterdam with 9 years of experience building production-ready ML systems across energy, healthcare, gaming, and finance. She combines a strong academic foundation (MSc in Computer Science) with hands-on expertise deploying models on AWS and Kubernetes, automating CI/CD, and scaling data pipelines using tools like Terraform, ArgoCD, Kafka, and ClickHouse. At client-facing roles via TMC she moved from model development to production ownership—fixing live issues and creating reusable data-science libraries—and now works on energy-focused AI at Eneco. Her background includes federated learning and healthcare cybersecurity at Philips and retention-driven ML for GameHouse, showing she balances research rigor with product impact. Notably, she started in operational research on graph clustering and still brings that algorithmic mindset to practical engineering problems. Fluent in Python, SQL, and cloud-native deployment, she excels at turning complex ML prototypes into reliable, maintainable services.
9 years of coding experience
9 years of employment as a software developer
Exchange Program (Science without Borders) - Madrid - Spain Computer Engineering, Exchange Program (Science without Borders) - Madrid - Spain Computer Engineering at Universidad de AlcaláNanodegree Machine Learning Engineer, Nanodegree Machine Learning Engineer at UdacityMaster's degree Computer Science, Master's degree Computer Science at Unifesp - Universidade Federal de São Paulo
Portuguese, Spanish, English, DutchGithub contributions (5)
thaiseq/ChurnAnalysis
Aug 2018 - Aug 2018
Contributions:54 commits, 47 pushes in 12 days
thaiseq/thaiseq
Jul 2020 - Mar 2024
Contributions:11 pushes, 1 branch in 3 years 9 months
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