AI Agent Development
Build AI-agent workflows with tool execution, guardrails, MCP integrations, and RAG-backed retrieval. Translate customer workflows into working product capabilities and integrations.
I develop AI agents and use AI to build, review, and troubleshoot Ansible playbooks, AWX workflows, and Terraform infrastructure as code. As a Forward Deployed Engineer, I carry customer solutions from discovery and live demos through deployment, SSO, integrations, and production handoff.
Hands-on AI engineering and practical AI usage across software development, infrastructure as code, and production operations.
Build AI-agent workflows with tool execution, guardrails, MCP integrations, and RAG-backed retrieval. Translate customer workflows into working product capabilities and integrations.
Turn customer needs into working AI agents, tool integrations, and automated workflows. Build solutions that connect models to business systems, APIs, and knowledge sources through tool execution, MCP integrations, and RAG-backed retrieval, with guardrails around the actions agents can take.
Own the forward-deployed engineering work from technical discovery and prototypes through live demos, integration, deployment, and production handoff. Configure SSO and customer environments, troubleshoot adoption blockers, and translate field feedback into product improvements that make AI useful in day-to-day operations.
I bridge the gap between a capable product and a successful customer outcome—while staying technical enough to build, deploy, integrate, and troubleshoot the solution myself.
The work is customer-facing and hands-on: understand the need, prove the workflow, configure the environment, integrate the product, resolve blockers, and leave the customer with something that works.
Lead customer-facing technical delivery across live demos, solution configuration, customer deployments, SSO setup, integration troubleshooting, onboarding, and field feedback that shapes the product.
Developed a harness comparison tool for engineering change analysis, compare reports, 3DXML parsing, CATIA-assisted workflows, and related automation.
Created automation frameworks for operational remediation, Oracle installs, Vault-backed credential rotation, AWS SFTP, and containerized infrastructure modernization.
Use AI-assisted development to author, review, and troubleshoot Ansible playbooks, AWX workflows, and Terraform infrastructure as code, backed by hands-on Linux operations experience.
Not every project is about a ticket. Some projects are about refusing to let the machine stay mysterious.
RefugeOS and Valkyrie came from wanting to understand every step of how a system works: boot, services, graphics, process boundaries, desktop behavior, packaging, and the little decisions that shape what users can actually do.
$ why build it? > I wanted to learn every step of how the system worked. > I was tired of having my options limited. > So I built, broke, traced, rewired, and kept going. $ public work > codeberg.org/refuge
Explore my Forward Deployed Engineering experience, AI development, and AI-assisted automation with Ansible/AWX and Terraform in web, PDF, or DOCX format.
I’m open to Forward Deployed Engineer, customer engineering, solutions engineering, and technical implementation roles where strong product instincts and deep systems experience both matter.