Gabriel Chaperon is a Generative AI Engineer with eight years of experience building production-grade ML and GenAI infrastructure, specializing in GCP (Vertex AI, Cloud Run, Kubeflow), Python, LangChain and Terraform. He moves projects from prototype to scale—authoring end-to-end pipelines, self-service labeling platforms, MCP-based retrieval systems, and centralized OAuth gateways—while championing testable code, CI/CD and reproducible infra as a matter of culture, not compliance. At LATAM he scaled LangSmith adoption across the Data Office, migrated monolithic retrieval architectures to modular MCP servers, and designed reusable Terraform modules adopted by multiple teams. Comfortable leading small technical teams and mentoring peers, he blends practical research experience (Spanish CLIP experiments) with hands-on tooling that reduces time-to-value (e.g., cutting labeling turnaround from months to weeks). Outside the office he’s an avid snowboarder, cyclist and manga fan—traits that speak to a practical risk-taker who also values community and steady improvement.
7 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Universidad de Chile
Contributions:39 PRs, 57 pushes, 43 branches in 9 months
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Gabriel Chaperon - Machine Learning Engineer at LATAM Airlines