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Commercial, Fashion & Editorial Portfolio · 2024–2026 Archive
Meticulously assessing AI-generated outputs for factual accuracy, fluency, coherence, and prompt alignment.
High-precision labeling, transcription, and bilingual dataset curation for machine learning models.
Designing and testing adversarial prompts to train context-aware language models and reduce hallucinations.
Analyzing trends and datasets using SQL, Tableau, Power BI, Google BigQuery, and Advanced Excel.
Detecting model bias, red-teaming edge cases, and benchmarking performance across evaluation frameworks.
Studio lighting, product composition, and photo/video post-production with Lightroom and Premiere.
Analyzing guidelines, dataset taxonomy, and evaluation benchmarks.
High-precision labeling, categorization, and bilingual tagging.
Benchmarking model outputs, identifying bias, and red-teaming.
Validating data accuracy, error distributions, and prompt tuning.
Shipping production-grade training sets to optimize model quality.