Imaginal Inc. embeds senior-level cloud architecture and AI integration expertise directly into your organization — delivering measurable outcomes without the overhead of a large firm.
From architecture design to hands-on implementation — across the full stack of modern cloud and AI infrastructure.
Multi-region deployments, high availability design, disaster recovery, and cost optimization across the full suite of AWS services — from EC2 and Lambda to Bedrock and CDK.
Production-grade AI workflows using multimodal LLMs, document vision models, agentic pipelines (Claude Code, Cline), Amazon Bedrock, and MCP-based automation — solutions that ship.
AWS CDK, CloudFormation, and Terraform — turning fragile manual deployments into repeatable, auditable, cost-controlled pipelines that scale with your business.
GitLab CI/CD pipelines, container orchestration with Docker and ECS/Fargate, and automated testing and deployment workflows that compress your release cycles.
Zero-downtime migrations of on-premise infrastructure to AWS — including 500+ server lifts and full data center transitions completed without revenue impact.
IAM architecture, GuardDuty, Security Hub, KMS, and PowerShell-based compliance automation — reducing regulatory overhead while hardening your environment.
Deep, hands-on proficiency across the tools that power modern enterprise cloud and AI systems.
Every engagement is measured against real business metrics — not just uptime and deployments.
Since 2007, Imaginal has operated as an independent C-Corp providing fully embedded, long-term consulting to enterprise clients. That means working alongside your team as a de facto technical leader — not parachuting in for a brief engagement and leaving behind a slide deck.
The dual technical-business background is the core differentiator. Architecture decisions are made with ROI, business continuity, and strategic objectives in mind — not just technical elegance.
Education: MSc Computer Science · MBA · BSc Economics — Paris Dauphine University · US & French Citizen
Long-term, embedded engagements — not short-term project work.
Embedded. Accountable. Outcome-driven.
Every technical decision is evaluated against ROI, strategic objectives, and business continuity. The MBA lens never comes off — whether choosing an AWS service tier or designing an AI workflow.
We integrate into your organization — attending planning sessions, leading teams, and holding institutional knowledge across organizational changes. No handoff, no knowledge loss.
We use the same agentic tools we architect for clients — Claude Code, MCP integrations, Bedrock — to accelerate our own delivery velocity and reduce your cost per output.
Engagements are scoped around concrete metrics: cost reduction targets, deployment velocity, reliability SLAs, and developer productivity gains — agreed upfront, reported honestly.
Whether you're modernizing legacy systems, evaluating AI integration, or need a senior architect embedded for a critical initiative — let's talk.