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Amin Mirlohi, AI Agent Systems Architect

Amin Mirlohi, PhD

AI Agent Systems Architect

Production-Focused
AI Agent Architect

I design and build multi-agent systems with deterministic reliability and agent governance, not AI wrappers. PhD-level statistical causal analysis meets production-grade orchestration.

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~/agent-pipeline
$agent.deploy --env production --governance strict
✓ Multi-agent pipeline initialized
✓ RAG retrieval layer connected (p95 < 200ms)
✓ Guardrails active, hallucination rate < 2%
✓ Deterministic routing enabled
⟶ Status: Running | Agents: 4 | Uptime: 99.97%

PhD

Ph.D. Computer Science

0+

AI Engagements

0.0/5.0

Client Rating

Director

Director-Level Experience

Core Competencies

PhD-level research rigor applied to production AI systems. Every engagement delivers deterministic reliability, not science experiments.

Multi-Agent Orchestration
Design and deploy deterministic multi-agent pipelines with typed message passing, conditional routing, and human-in-the-loop governance.
RAG Engineering
Build retrieval-augmented generation systems with hybrid search, re-ranking, citation grounding, and sub-200ms p95 latency.
Agent Governance
Implement guardrails, output validation, hallucination detection, and audit trails for regulated enterprise environments.
Eval & Red-Teaming
Statistical evaluation frameworks with causal analysis. Adversarial testing to find failure modes before production.
LLM Cost Optimization
Token routing, model cascading, caching strategies, and prompt engineering to cut inference costs 40-70% without quality loss.
Production Deployment
End-to-end deployment with observability, auto-scaling, A/B testing, and rollback capabilities for zero-downtime releases.

Featured Case Studies

Real production systems delivering measurable business impact. Not demos. Deployed solutions with enterprise SLAs.

Complete
Multi-Agent Customer Support Pipeline
Manual ticket routing causing 48hr avg resolution time
LangGraphGPT-4PineconeFastAPI

73% faster resolution

Complete
Enterprise RAG Knowledge Base
Engineers spending 6+ hours/week searching internal docs
LlamaIndexClaudeWeaviateNext.js

89% retrieval accuracy

Running
Agent Governance & Compliance Framework
No audit trail for AI-generated financial recommendations
CrewAIGPT-4PostgreSQLDatadog

100% audit coverage

View All Case Studies

Ready to build production-grade AI agents?

Let's discuss your AI challenge and build a system with deterministic reliability, not another prototype that never ships.

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