Rudric Cheonwi
@rudriccheonwi
I build production ML, LLM, and AI platforms that accelerate reliable model delivery.
What I'm looking for
At Expedia Group, I build and own the CI/CD, model-serving, observability, and AWS infrastructure behind production RAG search, LLM agents, and multi-agent booking systems. I deployed an AI travel assistant with LangChain, AWS Bedrock, OpenSearch, EKS, and GitHub Actions, while establishing reusable Terraform modules, Helm charts, and ArgoCD GitOps workflows across AI Product squads.
I've also delivered multi-cloud infrastructure, Kubernetes platforms, and automation at Johnson & Johnson and Kellogg. Across AWS, GCP, Terraform, Kubernetes, SageMaker, MLflow, LangSmith, and Datadog, I focus on secure, observable ML delivery—from training and feature pipelines through deployment, monitoring, and drift remediation.
Experience
Work history, roles, and key accomplishments
Senior MLOps Platform Engineer
Expedia Group
Jan 2022 - Present (4 years 8 months)
Embedded within AI/ML Engineering and AI Product teams as the infrastructure and deployment owner for production-grade RAG search, LLM-based AI agents, and multi-agent AI systems. Built and owned the CI/CD, model-serving, observability, and AWS infrastructure stack enabling AI Product teams to move AI applications from development into production.
Education
Degrees, certifications, and relevant coursework
Wake Forest University
Master of Science, Artificial Intelligence
Pursuing a Master of Science in Artificial Intelligence Strategy & Innovation, expected to complete in 2026.
Tech stack
Software and tools used professionally
Splunk
GitHub
GitLab
Bitbucket
Kubernetes
AWS CodePipeline
Jenkins
GitHub Actions
GitLab CI
MySQL
PostgreSQL
MongoDB
Cassandra
AWS CodeDeploy
Terraform
Jira
JavaScript
Java
JSON
PowerShell
MLflow
Grafana
Prometheus
Datadog
OpenSearch
Ansible
Serverless
GuardRails
CUDA
SQL
Hugging Face
LangChain
Feast
OpenAI API
Anthropic Claude API
Harness
ArgoCD
Argo CD
Bash
pgvector
LangGraph
LangSmith
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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