Akbar Gumbira is a Senior MLOps Engineer with 12 years of engineering experience, blending a strong software engineering foundation with advanced machine learning expertise from a summa cum laude master’s in Computer Science. He has led MLOps teams and built end-to-end ML platforms—CI/CD, gitops, IaC, model serving, feature stores and vector DBs—at scale using GCP, Terraform, Kubernetes, Triton and Vertex AI. His background spans research-grade computer vision (transfer learning thesis) to production ML services for search, recommendations and chatbots, with hands-on work optimizing inference and observability. Comfortable switching between structured software thinking and creative ML abstraction, he’s equally at home mentoring engineers and shipping reliable, monitored ML systems. Based in Stevenage, he brings a rare combination of academic rigor and practical deployment experience across startups and large product teams.
12 years of coding experience
11 years of employment as a software developer
Bachelor of Engineering - BE (Cum Laude) Informatics Engineering, Bachelor of Engineering - BE (Cum Laude) Informatics Engineering at Institut Teknologi Bandung
Master Preparatory Year, Master Preparatory Year at Wrocław University of Science and Technology
Master’s Degree with Distinction (Summa Cum Laude) Computer Science, Master’s Degree with Distinction (Summa Cum Laude) Computer Science at Warsaw University of Technology
Contributions:112 commits, 10 PRs, 6 pushes in 2 months
djangopythonmapdjango-application
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Akbar Gumbira - Senior MLOps Engineer Search Inference at Elastic