Galina Rajab

Maintained a perfect quality audit score across complex product compliance reviews by ensuring alignment with global regulatory documentation and marketplace policy standards. Prioritized high-volume audit workflows using standardized reporting tools, consistently exceeding monthly SLA targets and operational throughput standards.

Analyzed large-scale linguistic datasets across text, audio, and visual inputs to train and refine NLU and ASR models for AI voice assistants. Localized global content for Arabic-speaking markets, applying regional dialect expertise and cultural nuances.

Contributed to building Alexa in Arabic from the ground up. Managed complex workflows, processed diverse data types at scale, and conducted daily data analysis to meet required success rates.

Completed 3 hours of technical training covering foundational web technologies, structural HTML markup, and CSS formatting for web data processing.

Completed 21 hours of training in relational database querying, table joins, data aggregation, window functions, and data extraction using PostgreSQL for operational reporting.

Trained on leveraging Generative AI to streamline data exploration, generate hypotheses and scenario models, and transform raw analytics into validated decision-support recommendations.

Internal training covering core compliance, risk, and governance topics, including sanctions compliance, regulatory intelligence, and export compliance.

Training in linguistic engineering and language AI, including grammar writing, ASR, NLU, localization, and LLM conventions.

Bachelor's degree in English Language and Literature, General from Philadelphia University, Amman, Jordan, from 2017 to 2020.