AI Platform · DevOps · Observability · Backend Engineering
Building reliable developer platforms, cloud-native systems, and AI-powered engineering workflows.
GCP Associate Cloud Engineer · RBC · University of Windsor
- AI Platform Engineering: MCP servers, RAG systems, LLMOps, Backstage.io developer workflows
- DevOps & SRE: OpenTelemetry, Dynatrace, Splunk, PagerDuty, SLI/SLO, incident automation
- Cloud & Backend: Python, Node.js, TypeScript, FastAPI, Kubernetes, OpenShift, Terraform, GCP
- Built GenAI developer tooling at RBC using MCP, RAG, Node.js, and Backstage.io APIs
- Configured OpenTelemetry pipelines on OpenShift with Dynatrace and Kafka observability
- Improved CI/CD delivery at Techwondoe, reducing deployment time by 60%
- Represented RBC as a tech mentor at Hack the North 2025
Languages: Python TypeScript JavaScript Go Java Bash SQL
Backend: FastAPI Node.js NestJS REST APIs GraphQL Microservices
Cloud/DevOps: GCP AWS OpenShift Kubernetes Docker Terraform GitHub Actions GitLab CI
Observability/AI: OpenTelemetry Dynatrace Splunk PagerDuty Prometheus MCP RAG LLMOps Kafka
- Building practical AI engineering workflows for developers
- Improving observability and incident response for cloud-native systems
- Designing infrastructure that is repeatable, measurable, and reliable



