Devina Ekawati

Senior Machine Learning Engineer at Traveloka

Jakarta Metropolitan Area Indonesia
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Summary

👤
Senior
🎓
Top School
Devina Ekawati is a senior machine learning engineer with a decade of experience delivering production-grade ML systems in fast-moving tech environments. Based in the Jakarta area, she currently leads Traveloka's ML platform, building end-to-end infrastructure for reproducible model training, deployment, and experimentation across features via Kubeflow, Kubernetes, and BigQuery. She previously redesigned and accelerated model retraining and deployment pipelines, cutting retraining time from two weeks to two days and reducing API latency from 500 ms to 200 ms. Her work spans ML infrastructure, API design, and on-prem GPU integration, underpinned by a Master’s in Computer Science from National Taiwan University and a Bachelor's from ITB. Her approach blends scalable backend engineering with practical ML experimentation, delivering standardized workflows and low-latency predictions. She enjoys exploring new technologies and learning, combining deep technical skills with a curiosity-driven mindset.
code10 years of coding experience
job3 years of employment as a software developer
bookMaster's degree, Computer Science, Master's degree, Computer Science at National Taiwan University
bookBachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Institut Teknologi Bandung (ITB)
bookHigh School, High School at SMAK 1 BPK Penabur Bandung
languagesEnglish, Indonesian, Chinese
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Github Skills (14)

pipeline7
kubeflow6
kubeflow-pipelines6
machine-learning6
data-science5
project-structure5
science5
standardized5
data-sharing5
tekton5
kubernetes5
kedro5
mlops4
python4

Programming languages (4)

ShellCSSHTMLPython

Github contributions (5)

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Contributions:34 commits, 30 pushes, 1 branch in 4 months
Contributions:6 pushes, 1 branch in 9 months
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