Distributed Systems & Machine Learning Engineer at Software Sushi
Kansas, United States
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Summary
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David Bujosa is a Distributed Systems and Machine Learning Engineer with 7 years of experience building cloud-native, AI-driven products and resilient backend architectures across AWS and GCP. He designs and operates multi-tenant, event-driven platforms using Kubernetes, Kafka, PostgreSQL and Terraform, and drives MLOps practices—deploying and monitoring models with MLflow and SageMaker to ensure reproducibility and reliability. His work spans e-commerce, financial risk, and AI-native search analytics, where he’s combined Node.js, Go, TypeScript and Python to deliver low-latency, high-throughput systems. A pragmatic integrator, he pairs hands-on engineering with infrastructure automation and observability to enable blue/green deployments and rapid iteration. Based in Kansas, he blends formal training in cloud data and Ethereum development with startup experience as a founder/early engineer, making him comfortable translating research-grade ML into production-grade services.
7 years of coding experience
6 years of employment as a software developer
University of Seville
Engineer's degree Software Engineering, Engineer's degree Software Engineering at Instituto Tecnológico de Santo Domingo
Technician Information Technology, Technician Information Technology at Politécnico Virgen de la Altagracia
Ethereum Developer, Ethereum Developer at Alchemy University
Contributions:17 commits, 16 pushes, 1 branch in 1 month
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David Bujosa - Distributed Systems & Machine Learning Engineer at Software Sushi