- Agent engineering and AI workflow orchestration for enterprise operations use cases
- AI harnessing and agent harnessing patterns (tool use, context handling, workflow chaining)
- Spec-driven development and AI-native development practices
- Semantic modeling and data-to-agent grounding design
- Snowflake data platform skills (SQL, roles, schemas, operational verification)
- REST API design/integration for agent-backed capabilities
- Node.js/TypeScript/Express implementation and debugging
- Website onboarding and tagging/tracking workflow automation mindset
- RBAC/access-control modeling for domain-specific agent access
- Secrets/configuration management for production AI services
- Agent quality controls (grounding, guardrails, hallucination-risk reduction)
- AI observability (prompt/response telemetry, feedback loops, evaluation metrics)