Engineering Intelligence
Fractional AI Engineer for startups and SMEs. I build systems that win on architecture, performance, and technical rigor—not hype.
The Mission: Engineering Intelligence
Engineering Intelligence means building AI systems that are architecturally sound. Not flashy. Not overhyped. Correct. I engineer intelligent systems that solve real business problems with the rigor of backend infrastructure and the sophistication of LLM orchestration. Every integration is designed for performance, maintainability, and ROI.
Why Solo? Speed, Access, Architecture.
No layers. No handoff delays. You talk to the engineer doing the work. Decisions get made in conversation, not in Slack threads.
Deep stack ownership. I don't outsource the hard parts. From AWS Bedrock prompts to Go concurrency patterns to .NET type safety—the entire architecture is mine, and you benefit from coherence instead of seams.
Speed without compromise. Agencies optimize for billable hours. I optimize for your launch. Projects move faster when one engineer understands the full system.
How I Approach Every Problem
Fast systems are cheap systems. Every design choice accounts for latency, throughput, and cost.
Correctness over cleverness. Systems built with guardrails, explainability, and accountability.
No shortcuts. Systems built today must handle tomorrow's demands without a complete rewrite.
Building AI at the Frontier
AI First from Day One
Started building with LLMs while they were still research—AWS Bedrock, Claude, and generative architectures since their inception. No training wheels required.
Production Implementations
Shipped AI systems that actually work at scale. Built the infrastructure behind real-world AI deployments—from prompt engineering to enterprise integrations.
Engineering Intelligence
LoganAI isn't an AI startup. It's an engineering practice. We build systems that win on architecture, performance, and technical rigor—not hype.
The Stack: Why It Matters for ROI
Go
Backend systems built for speed and concurrency. Go powers the infrastructure that doesn't fail under load—critical for AI applications that demand real-time responsiveness.
AWS Bedrock
Direct access to frontier LLMs without vendor lock-in. Bedrock is the intelligent backbone of production AI systems—where research meets ROI.
C# / .NET
Enterprise-grade systems with crystalline architecture. .NET delivers type safety, performance, and the scaffolding that separates production systems from demos.
The Process: How We Work Together
Discovery
We dig into your problem. Not the glossy version—the actual constraints, scale requirements, and edge cases that matter. This shapes everything.
Architecture
I design the system with your constraints in mind. AI models, backend services, data pipelines—everything works together or nothing works at all.
Deployment
Build, test, deploy, monitor. Systems live in production. I make sure yours launches clean and stays stable.
Ready to Build?
I'm accepting projects for startups and SMEs building with AI. Let's talk about your engineering challenges.
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