Work Profile

AI workflow implementation for operator-led companies.

I turn messy business processes into practical AI-assisted workflows, internal tools, and customer-facing systems.

Best Fit

Roles where business, customer, and AI workflow meet.

AI Workflow Implementation
Operator Systems
Customer-Facing Automation
AI Enablement
Customer Success Operations
Founder-Led Product Operations

What I Do

Useful systems before polished theater.

My work starts with the operating reality: what customers ask, where teams lose time, which decisions repeat, and where a simple system would remove friction.

Map messy workflows and identify the leverage points.

Prototype AI-assisted processes with no-code and agentic engineering tools.

Translate customer reality into clear requirements for builders.

Build sheets, docs, dashboards, and handoff systems that reduce chaos.

Test workflows from the operator side before they become product promises.

Improve customer communication without removing the human judgment.

Selected Proof

Work that shows the pattern.

The common thread is not a tool stack. It is turning constraints, customer behavior, and messy operations into systems.

AI-assisted pricing and direct booking optimization

ApexAlpha

Problem: Vacation rental operators leave money on the table because pricing tools stop at recommendations and do not adapt the direct booking offer to the visitor.

Work: Shaped the operating model for automated direct-site discounting: PriceLabs/PMS ceiling, owner-set floor, ApexAlpha auto rate, manual override rules, and case-study metrics.

Signal: Built the pilot structure around measurable revenue delta, not demo theater.

Founder learning product with mentor-trained AI agents

ForgeHouse

Problem: Founders need access to operator thinking when they are stuck, but expert calendars are expensive, slow, and not always available.

Work: Designed the category, mentor onboarding flow, contribution process, activation tracking, and product narrative for AI agents trained on real operator frameworks.

Signal: Turned expert knowledge into a repeatable product and operating system.

Asset-light short-term rental operations

Da Nang Beach Villas

Problem: High-value travelers need reliable hospitality, while villa managers often lack distribution, guest communication, and service consistency.

Work: Built the guest relationship, partner model, booking flow, and service standards across budget rooms and luxury beachfront villas in Central Vietnam.

Signal: 355 reviews and a decade of customer-facing execution.

Docs, sheets, workflows, and execution loops

Operator Systems

Problem: Small teams lose speed when decisions, data, handoffs, and follow-up live in people instead of systems.

Work: Built decision docs, tracking sheets, customer workflows, AI-assisted research loops, and execution surfaces that turn ambiguous work into next actions.

Signal: Practical systems that people can actually use the same day.

How I Work

The useful middle between operator and builder.

I use AI and no-code tools to make problems visible fast: prototypes, workflow tests, decision surfaces, customer flows, and internal tools.

When something needs production engineering, I clarify the requirement, test the workflow, define the edge cases, and make the handoff sharper.

The goal is not to look technical. The goal is to make the business work better.

Tools

Practical stack, not identity.

ChatGPTClaudeCodex-style workflowsGoogle SheetsGoogle DocsCRM workflowsZapier / Make / n8n-style automationNo-code prototypesRequirements specsQA and workflow testing

Looking for the bridge between AI capability and business use?

I am looking for remote AI workflow implementation, operator systems, customer automation, or AI enablement roles with high autonomy and real business problems.