MCMarioCBuilds

Remote AI evaluation + workflow roles

Clear judgmentfor AI work.

Hands-on evaluation, UAT, evidence review, and workflow improvement grounded in real operating experience.

Open to fully remote opportunities.

Mario smiling outdoors, wearing a white cap, black sunglasses, and a white patterned golf shirt.
MarioCBuildsBuilder judgment, operator discipline

Where I add value

Make the finding useful.

AI evaluation

Compare outputs against a clear rubric, validate claims, surface inconsistencies, and write feedback another person can act on.

Rubric scoring, evidence validation, quality review

User acceptance testing

Test the real task from a user perspective, document friction precisely, and separate blocking defects from useful improvements.

Workflow checks, edge cases, reproducible findings

Workflow operations

Map handoffs, inputs, exceptions, and finish lines so a practical system can hold up outside the demo.

Process clarity, reporting judgment, operational follow-through

Evidence, not adjectives

Three systems made real.

Different lanes, one operating pattern: understand the work, shape the system, test it, then finish it carefully.

Private prototype

ReturnProof

Problem
Return decisions depend on evidence scattered across orders, carrier events, customer messages, and policy records.
Response
I designed and implemented a prototype that turns source records into a readable timeline and an evidence-readiness report.
Evidence
The representative interface and sample report use a synthetic Shopify order, keeping the demonstration concrete without exposing customer data.

Private prototype. Representative synthetic-data screens are shown here; the source repository is not public.

The ReturnProof AI interface showing a source timeline and evidence readiness workflow for a synthetic Shopify order.A sample ReturnProof evidence readiness report generated from verified source records.

Active AI media

TonkaToyXL

Problem
Fast moving AI stories lose value when research, scripting, visuals, and review live in disconnected steps.
Response
I built a repeatable media workflow that connects source review, clear scripting, visual systems, and production checks.
Evidence
The live channel shows the finished explainers. The operating workflow keeps speed behind source quality and human review.
Watch TonkaToyXL
A TonkaToyXL explainer cover comparing Hermes Agent and OpenClaw in a dark cyan signal desk style.

Live brand

Estilo Golf Co.

Problem
An independent apparel brand needs consistent product storytelling and campaign execution without a large creative team.
Response
I use AI across creative direction, catalog-grounded storytelling, campaign production, and the systems behind the storefront.
Evidence
The store is live, the products are real, and the visuals demonstrate how the brand moves from catalog facts to finished creative.
Visit Estilo Golf Co.
The black Catrin Estilo Golf Co. polo arranged on warm black marble in an editorial product photograph.Golfers wearing red Estilo Golf Co. polos together on the course.

Working fit

Useful in the messy middle.

I work best where quality, evidence, process, and human judgment have to meet.

Strong role families

  • AI evaluator and model-quality operations
  • UAT and workflow quality assurance
  • Revenue and customer operations
  • Evidence review and rubric-based research

How I work

  • Clear written findings
  • Evidence before assumptions
  • Practical escalation and handoff
  • Remote, asynchronous follow-through

Start with the work.

If the role needs careful evaluation and operational judgment, the fastest next step is a direct conversation.

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