From automation experiments to production systems
Hi, I’m Collin. I design, deploy, and troubleshoot the systems around AI: APIs, data access, authentication, automation, cloud infrastructure, monitoring, and recovery. What began as hands-on experimentation became LogicWeave after clients started asking me to turn that work into systems they could operate and support.
Early success on Upwork
I started offering AI automation services on Upwork after graduation. Within four months, I had built a strong client track record across real AI and automation projects:
- 20+ projects shipped
- Five-star Upwork client history
- Top Rated Plus status on Upwork
- Recognized among Upwork's top 3% of performers
That track record now includes a controlled data-access layer built around a client's existing database (a roughly $7K/year quoted option against an estimated ~$40/month in AWS), a client campaign portal for a 32-client agency, and a workflow that handled 1,253 campaign approvals across six months. Every figure is labeled as quoted, estimated, or modeled. See the case studies →
Production ownership and technical range
My work spans custom APIs, databases, authentication, credential security, Docker, n8n, RAG pipelines, cloud networking, deployment, monitoring, and failure recovery across AWS, Azure, and GCP. I own the path from scope and architecture through implementation, validation, documentation, and handoff.
Current client systems
My current client work spans three operating environments:
- Customer-facing AI systems — building the integrations, data access, deployment, and reliability layers around agent and voice workflows
- Marketing and revenue operations — connecting content, lead-management, reporting, and campaign workflows
- Distribution and internal operations — building AI-assisted review, data movement, APIs, and operational automation
Let’s build a reliable system
If you have a workflow, integration, or production system that is expensive, fragile, or too manual, I can help define the smallest reliable version and own the path from architecture through deployment and handoff.