Shota Shimizu is a software engineer with 11 years of experience specializing in MLE/ML Ops, data engineering, and scalable data pipelines, currently building transparency-focused civic tech at Team Mirai. He has a track record of improving throughput and reliability—most notably a 10x data-pipeline speedup at LegalOn—while leading teams to adopt agile practices and self-organize through reading clubs and knowledge-sharing. Comfortable across cloud-native stacks (GCP Dataflow/Vertex, Pub/Sub, BigQuery) and ML tooling (PyTorch, Pytorch Lightning, Databricks/Kedro), he blends hands-on model and infra work with product-minded API and search engine development. Prior consulting roles at QuantumBlack and PKSHA honed his ability to operationalize dozens of models, implement CI/CD, and communicate technical tradeoffs to stakeholders. Based in Chiyoda, Japan, he pairs academic training from the University of Tokyo with practical leadership that consistently turns ML prototypes into maintainable production services.
Learning tla+ from https://lamport.azurewebsites.net
Contributions:4 PRs, 3 pushes, 2 branches in 2 years 10 months
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