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Yana NezhdanovaYN
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Yana Nezhdanova

@yananezhdanova

AI Language Model Evaluator at Data Light who evaluated LLM responses, curated multilingual datasets, and tested prompts for edge cases.

Montenegro
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What I'm looking for

I'm dedicated to advancing AI language models through computational linguistics and fine-tuning, and I'm open to worldwide remote roles.

At Data Light, I evaluated LLM outputs for search relevance, contextual understanding, and text classification accuracy. I also checked factual correctness and safety, and wrote technical feedback in English for development teams.

I collected, annotated, and validated multilingual text and audio datasets for machine learning and language model training and fine-tuning. I designed prompts to test edge cases and probe model boundaries.

I assessed speech recordings for naturalness, pronunciation, intonation, and tempo, checking them against quality metrics for speech synthesis models. I also performed Machine Translation Post-Editing and terminology alignment using CAT tools.

My background is in Linguistics, including English and Chinese, and I bring experience in computational linguistics, dataset quality control, and model evaluation. At Data Light, I refined evaluation guidelines with project coordinators and maintained dataset metrics in MS Excel.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

LN

Linguistics University of Nizhny Novgorod

Bachelor's Degree, Linguistics

2020 - 2024

Bachelor's degree in Linguistics from the Linguistics University of Nizhny Novgorod, completed from 2020 to 2024.

LN

Linguistics University of Nizhny Novgorod

Fundamentals of Artificial Intelligence, Artificial Intelligence

2024 - 2024

Completed the Fundamentals of Artificial Intelligence course from February to May 2024.

LC

Lingua Contact Translation Center

English Translation & Localization Program, Translation & Localization

2026 -

Completed the English Translation & Localization Program from January to May 2026.

Tech stack

Software and tools used professionally

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