I design and deploy custom AI agents, API integrations, and cloud or on-premises infrastructure that connect your tools, automate manual work, and hold up in production.
I design and deploy practical AI and automation systems around your existing tools, data, and infrastructure—from a single integration to a production-ready internal platform.
Selected client systems
These projects show how I clarify recurring-cost tradeoffs, remove repetitive work, and give clients a better way to make decisions.
Controlled data access
I kept the client's database and automations in place and added a private, read-only path for approved information.
$38–$45/month estimated incremental AWS cost · working system preserved · failed refreshes keep the last good copy
Read the data-access case studyClient campaign portal
Clients can review campaigns, approve work, request changes, and comment in one focused calendar.
1,054 campaigns at an August 2026 check · 35 active client links verified in September 2026 · approvals and feedback in one portal
Read the client-portal case studyCampaign workflow capacity
A human approval starts brief and draft preparation while people retain final review and publication.
1,253 approvals across six months · ~100 hours/month modeled manual workload · final review stayed human
Read the campaign-workflow case studyPractical writing based on client systems, hands-on builds, production incidents, and current technical research.
Claude Code Needed a Home. Archon Gave Me a Security Education Instead.
I Thought Claude Skills Were Just Fancy Prompts. They’re Actually Better.
You work directly with me throughout the project. I design the system, build the integrations, deploy it into your environment, and stay involved after launch.
Five-star Upwork history and Top Rated Plus status across real automation and AI projects.
AI agents, APIs, databases, Docker, and cloud or on-premises infrastructure, designed around the tools your team already uses.
AWS Certified AI Practitioner and AWS Certified Cloud Practitioner, with live services deployed on AWS, Azure, and GCP.
Full IP transfer on every project, with 30 days of post-launch support included.
These are genuine reviews from client projects across workflow automation, AI agents, training, and infrastructure. They are shown anonymously to protect client privacy.
Clear answers about ownership, existing infrastructure, post-launch support, and how I reduce project risk.
Yes. You receive full ownership of the workflows, agents, documentation, and project-specific code I build for you. Any third-party platforms or software remain subject to their own licenses and terms.
Yes. I design around the tools and environments you already use, including cloud platforms, internal systems, databases, and SaaS applications with accessible APIs. I review the existing setup and technical constraints before finalizing the scope.
Yes. Every project includes 30 days of post-launch support for troubleshooting and reasonable adjustments related to the delivered work. Ongoing monitoring or extended support can be scoped separately when needed.
I define the scope and acceptance criteria before the build, test integrations and failure paths before handoff, and surface technical constraints early. If an issue with the delivered work appears after launch, the included 30-day support window covers troubleshooting.
Tell me what you want to improve, the systems involved, and what you have already tried. I’ll help you define a practical next step and whether the project needs a focused build, integration work, or infrastructure support.
