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Raymond Clanan

I help companies ship production-ready AI systems that scale.

With 20+ years building systems, I deliver fast, observable, production-ready solutions. AI/ML and systems engineering. Building fast, clean software.

MockForge

Creator · MockForge

LLM-aware API sandbox

GitHub

22+ launches

SMB, scale-up, enterprise

Hands-on engineering

Rust · .NET · Postgres · OpenTelemetry

Let's Build Together View case studies
Shipped for SMB → enterpriseHands-on: .NET · Rust · PostgresObsessed with perf + observability

What Clients Say

PA
"Raymond architected our cloud-agnostic CQRS framework. The system enabled us to build new features 40% faster."
Principal Architect, Infosys (Volvo Project)
6-month engagement building CQRS framework
CT
"His expertise in observability reduced our LLM spending by 30% while improving latency by 60%."
CTO, SaaS Platform
3-month engagement optimizing LLM routing
EM
"The RAG system achieved 85% accuracy improvement. His documentation made handoff seamless."
Engineering Manager, Enterprise Client
4-month engagement building RAG system
Read all testimonials
Trusted by

Leaders shipping complex platforms across automotive, government, and SaaS.

Recent engagements include Volvo’s CQRS framework, federal payment modernization, and growth-stage SaaS teams looking for production-ready AI.

  • AutomotiveVolvo
  • Enterprise SaaSPlatform scale-ups
  • GovernmentPayment modernization
  • CommerceOmnichannel retail

Key Capabilities

Production AI

  • Multi‑provider routing, budgets, guardrails
  • Offline evals; prompt + model lifecycle
  • Rollouts with signals, not vibes

Search + RAG

  • Embeddings + pgvector, re‑ranking, citations
  • Chunking + ingest pipelines that don't rot
  • Freshness + caching strategies that work

Performance + DX

  • Low‑latency services (.NET/Rust), streaming UX
  • Strong logs/traces/metrics (OTel)
  • Fast local dev; clean deploys

MockForge Series

  • Technical deep-dives on AI-powered API mocking
  • 9 articles covering architecture, protocols, and LLM integration
  • Open-source framework for production-ready mocks
Production sandbox

MockForge powers client demos and integration testing across enterprise .NET, Rust, and JS stacks. The open source core delivers fast network-level realism without touching production.

Ship lifelike APIs in minutes

Generate rich, guarded responses with a single config file. Swap between deterministic fixtures and LLM-powered payloads depending on the scenario.

GitHub Read series

Dynamic data models

  • Hybrid deterministic + LLM payloads with schema validation
  • Per-route guardrails, budgets, and scenario switching
  • LLM fallback orchestration with caching + expiry controls

Protocol coverage

  • HTTP/REST, GraphQL, gRPC, WebSockets, and event streams
  • Request templating with seeded randomness for load tests
  • Idiomatic SDKs for .NET, Node, Rust, and Python teams

Ops & telemetry

  • Prometheus & OpenTelemetry exporters for every mock
  • Audit-friendly logging with replay + time travel controls
  • Ready-to-use dashboards for demos and pre-sales walkthroughs

Recent client wins

Production impact at enterprise scale

Two examples of how hands-on architecture, observability, and AI systems thinking turned into measurable outcomes.

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Volvo · Infosys

Volvo CQRS Framework

Cloud-agnostic event-sourcing framework for a 22-person distributed team with strict compliance and audit demands.

  • 40% faster development Velocity uplift across eight product squads.
.NET CoreCQRSEvent sourcing
Read the engagement
Growth-stage SaaS

Multi-Provider LLM Routing

Intelligent routing layer with budget controls, quality signals, and streaming telemetry for each token.

  • 60% latency reduction
  • 30% cost savings
RustLLM OpsObservability
See the playbook

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Ready to build something great?

Building AI features on reliable infra; RAG systems; observability and cost controls. 20+ years experience, creator of MockForge.

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