Marcos Henrique is a Lead Platform Engineer based in São Paulo with a decade of experience designing resilient, cost-efficient cloud and AI platforms primarily on AWS. He blends hands-on TypeScript and Python development with platform thinking—building self-service BYOM AI delivery pipelines, event-sourced, serverless architectures, and robust EDA integrations that cut costs and pipeline times significantly. As an AWS Community Builder and AI Platform Engineer, he publishes practical guidance and champions patterns like DDB single-table, Step Functions at scale, and async/sync inference for production ML. Known as a team enabler, he improves developer experience through guardrails, automation, and observability (mlflow, CI/CD optimizations) while still contributing low-level improvements like lambda cold-start tuning on Graviton2. Notably, he has delivered end-to-end MLOps features—model validation, A/B testing, benchmarking and artifact installation—for enterprise workflows, pairing pragmatic engineering with community-minded knowledge sharing.
Contributions:20 pushes, 1 branch in 4 years 7 months
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