Tim Kartawijaya is a Senior Software Engineer and seasoned MLOps leader based in Seattle with nine years of experience building cloud-native, production-grade ML platforms. He has led and scaled a self-service Kubernetes-based MLOps platform at Grainger that supported 30 teams and 200+ users, driving deployments of hundreds of pipelines and web services through Terraform, Flux, Helm, and CI/CD automation. Comfortable across the stack, Tim combines ML tooling (Kubeflow, MLflow, Airflow) with data science fluency in Python and R, plus strong AWS/GCP and observability practices that delivered 99.8% uptime with a lean operations team. Now at NVIDIA, he continues to fuse infrastructure engineering with data-driven product needs, enabling teams to ship models reliably at scale. Outside work he plays chess and enjoys indie games, a habit that fuels his systematic, game-theoretic approach to problem solving and platform design.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Data Science, 3.6/4.0, Master of Science - MS, Data Science, 3.6/4.0 at Columbia University in the City of New York
Bachelor of Science (B.S.), Applied Mathematics, 3.8/4.0, Bachelor of Science (B.S.), Applied Mathematics, 3.8/4.0 at Wheaton College
Capstone Project: Detecting Sentiments of Food Brands from Yelp Reviews
Contributions:90 commits, 2 PRs, 49 pushes in 1 year 3 months
capstonebrandssentimentsmachine-learningfood
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