AI Engineering • Agentic Systems • RAG • Cost & Governance
Enterprise AI Engineering & Agentic Systems
I design, build, and deploy production-grade AI platforms—RAG, tool-using agents, and workflow automation—backed by secure infrastructure,
measurable costs, and reliable operations.
What I build
RAG that works in production
Chunking strategy, embeddings, citations, evaluation, and guardrails—designed for real teams and real risk.
Tool-using & workflow agents
Agents that plan, call tools (Jira/ServiceNow/KBs), write outputs, and pass QA contracts before publishing.
Cost-aware architecture
Multi-model routing, caching, and usage telemetry so you can run AI sustainably with clear chargeback.
Secure enterprise delivery
Identity, RBAC, data boundaries, auditability, and governance—built for regulated environments.
Services
AI Platform Architecture
- Landing zone, environments, governance
- RAG pipelines, evaluation, and monitoring
- Model strategy: cost, latency, quality
Agentic Workflow Automation
- Jira/ServiceNow “do the task” agents
- Report generation + PDF/HTML export
- Actionable alerts & notifications
Engineering Delivery
- Prototype → production hardening
- CI/CD, QA contracts, observability
- Documentation, handoff, enablement
Selected outcomes
Jira → Report Generator
Generate executive-ready reports from tickets, with templates, charts, and a report editor—then publish to PDF.
Cost Monitoring & Chargeback
Per-user/model usage visibility with dashboards and governance patterns to keep AI affordable at scale.
MCP / Tool Connectors
Connect agents to enterprise systems (Jira, ServiceNow, KBs) with a reliable tool layer and strong permissions.
Want to ship an AI system that actually works?
If you’re exploring RAG, agents, or platform modernization, I can help you go from concept to a production-grade system with clear costs,
governance, and measurable outcomes.