Agentic AI Workflows & Runtimes

Multi-agent systems designed for unforgiving production.

I architect stateful, error-isolated multi-agent workflows using LangGraph, structured memory contracts, deterministic guardrails, and asynchronous task execution that survive model rate-limits, context bloat, and hallucinations.

Solutions Architect on the Wellows LLM search visibility platform (KIVA, OPTA, Citation Intelligence) with sub-200ms vector retrieval and 80% manual workflow reduction.

3+Isolated agents coordinated in production clusters
<200msVector retrieval latency target achieved
ZeroCascading failure propagation across agent boundaries

Agent Engineering Deliverables

How I take agents from fragile scripts to deterministic pipelines.

Every agentic system I design has explicit memory boundaries, schema validation, rate-limit backpressure, and human-in-the-loop gates.

01 / Orchestration

LangGraph StateGraph & Routing

Stateful cyclical and acyclic agent graphs, supervisor-worker coordination, and checkpointing for full workflow resumability after third-party API interruptions.

02 / Guardrails

Deterministic Boundaries & Evaluation

Input sanitization, strict Pydantic output schema validation, prompt injection defense, and automated evaluation suites testing against hallucination drift.

03 / Retrieval Spine

Chunked Vector RAG & Search Ingestion

Hybrid dense-sparse retrieval, semantic re-ranking, chunk-size optimization, and asynchronous vector indexing pipelines accessible across all agent nodes.

04 / Fault Isolation

Dead-Letter Queues & Circuit Breakers

Decoupling agent tool execution behind Celery/SQS queues, exponential retries with jitter, and human escalation gates before high-risk external actions.

Architecture Engagement Path

From prototype failure points to a scalable agent runtime.

01

Deconstruct the Workflow & Tools

Map domain actions into isolated agent responsibilities with unambiguous input/output JSON contracts.

02

Implement LangGraph State Management

Build deterministic routing, checkpointed persistence, and thread-scoped context windows to prevent token bloat.

03

Harden Retrieval & Tool Sandboxes

Connect hybrid vector stores, configure API rate-limit circuit breakers, and enforce Pydantic validation on all tool outputs.

04

Observability & Production Handoff

Set up tracing (OpenTelemetry/LangSmith), cost-tracking monitors, latency alerts, and complete operational runbooks.

Start with clarity

Ready to move your AI agents beyond the demo?

Let’s map out your agent state graph, failure boundaries, and execution roadmap in a 30-minute architecture review.