David Bujosa
Distributed Systems & Machine Learning Engineer at BackChannel
Kansas, United States
Summary
🤩
Rockstar🎓
Top SchoolDavid 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.
8 years of coding experience
6 years of employment as a software developer
University of SevilleEngineer's degree Software Engineering, Engineer's degree Software Engineering at Instituto Tecnológico de Santo DomingoTechnician Information Technology, Technician Information Technology at Politécnico Virgen de la AltagraciaEthereum Developer, Ethereum Developer at Alchemy University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (65)
audio9
git-workflow9
amazon9
monorepo8
blockchain8
agentic8
interchain8
google8
mobile-application7
algorithms7
facebook7
data-structures7
smart-contracts6
lambda6
code-generation6
Programming languages (10)
Github contributions (5)
educolog9/packages
Apr 2024 - Feb 2026
Contributions:9 releases, 30 pushes, 1 branch in 1 year 10 months
bujosa/nu
Jan 2021 - May 2026
Contributions:10 pushes, 1 branch in 5 years 4 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.