AI Evaluation & QA
Rubric design, response comparison, instruction-following checks, factuality review, error analysis, and high-density feedback.
I am building a proof-of-work portfolio around AI evaluation, Indonesian-language quality, digital education, and software problem solving. This page is designed for recruiters and collaborators who want evidence before claims.

Rubric design, response comparison, instruction-following checks, factuality review, error analysis, and high-density feedback.
Naturalness, localization, age-appropriate writing, register control, ambiguity detection, and educational clarity.
Laravel/PHP workflows, schema design, debugging, requirement compliance, testable architecture, and educational product design.
AI Lab samples are created from independent, synthetic, public, or self-authored material. Confidential project prompts, customer data, private rubrics, credentials, and restricted task content are not published as portfolio evidence.
This form stores your inquiry in my private dashboard. Do not send confidential credentials or restricted material.