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Raza AbbasRA
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Raza Abbas

@razaabbas

I evaluate multilingual AI content for linguistic accuracy, cultural authenticity, and safety across Urdu, Hindi, Arabic, and English.

India
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What I'm looking for

I'm seeking remote freelance work in AI language evaluation, prompt annotation, content safety, or multilingual quality assurance, where I can apply Urdu/Hindi, Arabic, English, and Nastaliq expertise to assess accuracy, cultural context, and appropriate register.

I've evaluated and presented Arabic and Urdu-Hindi content for JNU Arabic Day programmes, reviewing linguistic accuracy, cultural authenticity, register, and sensitive material for academic audiences.

As a multilingual language researcher at Jawaharlal Nehru University, I've translated and assessed texts across Arabic, Urdu, Hindi, and English, flagging grammatical, cultural, and register issues. I bring native Urdu/Hindi fluency, Nastaliq literacy, and structured quality-assurance experience to AI evaluation, annotation, and content safety work.

Experience

Work history, roles, and key accomplishments

JU

Multilingual Language Evaluator & Cultural Presenter

Jawaharlal Nehru University

Jan 2021 - Dec 2024 (3 years 11 months)

Evaluated and presented multilingual content in Arabic and Urdu-Hindi registers to academic audiences across four annual events. Conducted quality-assurance feedback sessions and assessed culturally sensitive material for academic suitability.

Education

Degrees, certifications, and relevant coursework

Jawaharlal Nehru University logoJU

Jawaharlal Nehru University

Bachelor of Arts Honours, Arabic

2020 - 2024

Activities and societies: Active participant in cross-language discourse, academic language critique, and multilingual cultural programming.

Pursued a BA Honours in Arabic with a Spanish Diploma, including full training in Persian-Arabic Nastaliq script and multilingual academic research.

SC

Shibli National Inter College

Intermediate, Commerce

2018 - 2020

Grade: 73.3%

Completed Intermediate in Commerce stream with 73.3% marks, with Urdu-medium academic background throughout schooling.

Tech stack

Software and tools used professionally

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