AI Helpdesk Agentic Flow
An agent that grants access by policy, and can show why.
Senior AI Engineer | Agentic AI, MCP, RAG, LLM Evals & Observability
I take agentic AI products from prototype to production and run the LLMOps behind them, from deployment and tracing to guardrails and evals.
An agent that grants access by policy, and can show why.
The gateway and dashboard every model call goes through.
| Skill | AI Helpdesk Agentic Flow | LLMOps Console |
|---|---|---|
| Applied AI | ||
| Agentic AI with LangGraph | Yes | No |
| MCP tool server | Yes | No |
| RAG pipeline | Yes | No |
| Qdrant vector search | Yes | No |
| Versioned prompts | Yes | No |
| LLM guardrails | Yes | No |
| Conversation evals | Yes | No |
| LLM platform | ||
| LLM gateway with model routing and fallback | No | Yes |
| LLM-as-judge evals with a CI eval gate | No | Yes |
| PII redaction | No | Yes |
| Semantic caching | No | Yes |
| Token cost tracking and budgets | No | Yes |
| LLM APIs | ||
| Anthropic Claude API | No | Yes |
| OpenAI API | No | Yes |
| Azure OpenAI | No | Yes |
| Backend | ||
| Python (async) | Yes | Yes |
| FastAPI | Yes | Yes |
| SQLAlchemy | Yes | No |
| Alembic | Yes | No |
| PostgreSQL | Yes | Yes |
| Redis | Yes | Yes |
| Qdrant | No | Yes |
| Security | ||
| RBAC | Yes | No |
| JWT auth | Yes | No |
| Multi-tenant isolation | Yes | No |
| Audit log | Yes | No |
| Observability | ||
| OpenTelemetry | No | Yes |
| Langfuse | No | Yes |
| Prometheus | No | Yes |
| Grafana | No | Yes |
| Frontend | ||
| Next.js | Yes | Yes |
| React | Yes | Yes |
| TypeScript | Yes | Yes |
| Tailwind | Yes | No |
| Cloud and DevOps | ||
| Docker | Yes | Yes |
| GitHub Actions | Yes | Yes |
| Kubernetes (Kustomize) | Yes | Yes |
| Terraform | No | Yes |
| Testing | ||
| pytest | Yes | Yes |
| Playwright | Yes | No |
| Trivy image scans | No | Yes |
| k6 load tests | No | Yes |
| vitest | No | Yes |