Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I’m a detail-driven AI evaluator and data-quality specialist with a B.S. in Business Administration (Finance). I review Python and JavaScript solutions, test cases, and LLM outputs against strict rubrics to ensure the logic, outputs, and reasoning hold up under real-world expectations. I’m also experienced in identifying edge-case failures, hallucinations, contradictions, and requirement gaps, then communicating fixes clearly and constructively. Alongside evaluation work, I’ve done hands-on financial and data analysis—validating, reconciling, and documenting findings to improve reliability and trust in results.…I’m a detail-driven AI evaluator and data-quality specialist with a B.S. in Business Administration (Finance). I review Python and JavaScript solutions, test cases, and LLM outputs against strict rubrics to ensure the logic, outputs, and reasoning hold up under real-world expectations. I’m also experienced in identifying edge-case failures, hallucinations, contradictions, and requirement gaps, then communicating fixes clearly and constructively. Alongside evaluation work, I’ve done hands-on financial and data analysis—validating, reconciling, and documenting findings to improve reliability and trust in results.

fernando99

AI Evaluator, AI Trainer, Data Analyst, +4





I’m a detail-driven AI evaluator and data-quality specialist with a B.S. in Business Administration (Finance). I review Python and JavaScript solutions, test cases, and LLM outputs against strict rubrics to ensure the logic, outputs, and reasoning hold up under real-world expectations. I’m also experienced in identifying edge-case failures, hallucinations, contradictions, and requirement gaps, then communicating fixes clearly and constructively. Alongside evaluation work, I’ve done hands-on financial and data analysis—validating, reconciling, and documenting findings to improve reliability and trust in results.…I’m a detail-driven AI evaluator and data-quality specialist with a B.S. in Business Administration (Finance). I review Python and JavaScript solutions, test cases, and LLM outputs against strict rubrics to ensure the logic, outputs, and reasoning hold up under real-world expectations. I’m also experienced in identifying edge-case failures, hallucinations, contradictions, and requirement gaps, then communicating fixes clearly and constructively. Alongside evaluation work, I’ve done hands-on financial and data analysis—validating, reconciling, and documenting findings to improve reliability and trust in results.

Available to hire

I’m a detail-driven AI evaluator and data-quality specialist with a B.S. in Business Administration (Finance). I review Python and JavaScript solutions, test cases, and LLM outputs against strict rubrics to ensure the logic, outputs, and reasoning hold up under real-world expectations.

I’m also experienced in identifying edge-case failures, hallucinations, contradictions, and requirement gaps, then communicating fixes clearly and constructively. Alongside evaluation work, I’ve done hands-on financial and data analysis—validating, reconciling, and documenting findings to improve reliability and trust in results.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Financial / Data Analyst at Freelance & Professional Projects

January 1, 2023 - January 1, 2025

Analyzed financial and operational datasets in Excel, performing validation, reconciliation, and structured anomaly/error identification. Built and audited spreadsheet formulas and logic to ensure accurate and reproducible results. Investigated discrepancies using analytical reasoning. Produced clear reports and documentation that translate complex data into actionable findings.

AI Trainer / AI Evaluator at Freelance

January 1, 2023 - Present

Evaluate AI-generated responses (technical and programming) for accuracy, logic, completeness, relevance, and instruction adherence. Identify factual, logical, formatting, and reasoning errors, and provide precise feedback explaining what is wrong and why. Assess code solutions against expected outcomes, including edge cases and practical real-world considerations. Create and review training data to improve model performance and reliability. Apply evaluation criteria consistently across large task volumes, flag ambiguous requirements or inconsistencies, and run quality-control checks while working independently to meet deadlines.