I build agentic AI workflows that reason, act, and explain. Enterprise-grade architecture for organizations that demand compliance, auditability, and scale.
The Architect
Most AI systems are black boxes. You feed in data, get outputs, and hope they're right. When compliance asks how the AI reached a conclusion, you shrug.
I bridge the gap between bleeding-edge AI research and rigid enterprise requirements. My focus: not just what AI can generate, but how it reasons and how we govern it.
// Workflow Trace
"module": "Reasoning_Engine", "status": "OK"
"module": "Audit_Logger", "status": "OK"
"module": "Compliance_Guard", "status": "OK"
"explainable": true, "audit_trail": "ACTIVE"
Intelligent agents with traceable reasoning paths, moving beyond black boxes.
Rationale logging, confidence scoring, and Human-in-the-Loop control systems.
Continuous measurement of bias, quality, and regulatory compliance.
Multi-agent orchestration, tool use & function calling, state management, and CoT reasoning patterns.
Guardrails, audit logging, EU AI Act consulting, and bias detection for regulated industries.
Hybrid retrieval (dense + sparse), provenance validation, and evidence-backed answers at scale.
LLM-as-a-Judge CI/CD pipelines measuring relevancy, faithfulness, and hallucination rates before deployment.
OpenTelemetry traces, Prometheus metrics, and Langfuse integration for end-to-end decision lineage.
The "Tracer Bullet" — a fixed-cost 10-day sprint to validate your AI use case before committing resources.
I'll get back to you within one business day.