Backend & AI Engineer building AI agent infrastructure, scalable backend systems, and developer platforms.
I focus on designing safe, observable, and production-ready AI systems that integrate with real backend services.
Chaos engineering and CI gating for tool-using AI agents.
- Agent replay testing
- Mutation campaigns
- Policy enforcement (OPA)
- CI regression blocking
Human-in-the-loop control plane for AI agents.
- Policy-gated tool execution
- Approval workflows
- Audit-grade traces
- Multi-orchestrator support
Evidence-driven incident triage MCP server.
- Slack + Jira integrations
- RBAC + audit logging
- Safe operational automation
Python • Java • SQL • Bash
FastAPI • Spring Boot • REST APIs • GraphQL
LangGraph • CrewAI • AutoGen • MCP • RAG pipelines
Docker • Kubernetes • AWS • Terraform
Prometheus • Grafana • OpenTelemetry
LinkedIn
https://linkedin.com/in/felixsarpong
Portfolio
https://felixsarpong.dev




