Summary
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.
10 years of coding experience
3 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at National Taiwan University
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Institut Teknologi Bandung (ITB)
High School, High School at SMAK 1 BPK Penabur Bandung
English, Indonesian, Chinese