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Haziq KhanHK
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Haziq Khan

@haziqkhan

I train and evaluate AI models through multilingual prompt engineering, multimodal analysis, and quality assurance.

India
Message

What I'm looking for

I'm seeking challenging work in image evolution and AI evolution where I can apply visual content review, data annotation, image analysis, prompt analysis, and practical problem-solving to innovative projects.

I'm training and evaluating AI models at DataAnnotation, where I create evaluation rubrics, provide structured feedback, and identify factual, reasoning, safety, and instruction-following issues in LLM responses.

Through Aether, I've analyzed images, voice, and audio for accuracy, relevance, safety, quality, transcription accuracy, and model performance. I've also created and refined English and Hindi prompts to improve AI evaluation across text, image, and audio systems.

Previously, at Concentrix, I supported Amazon customers through live chat, resolving order, delivery, refund, return, and account queries while managing multiple interactions accurately in a fast-paced environment.

Experience

Work history, roles, and key accomplishments

CO

Customer Support Executive

Concentrix

Feb 2022 - Oct 2024 (2 years 8 months)

Assisted Amazon customers through live chat support for order, delivery, refund, return, and account-related queries. Resolved customer concerns efficiently while maintaining high customer satisfaction standards.

DA

Bilingual Trainer

DataAnnotation

Jun 2026 - Present (2 months)

Provided structured feedback to support the training and alignment of large language models. Developed detailed evaluation rubrics defining accuracy, relevance, completeness, reasoning, safety, and language quality standards for AI responses.

Education

Degrees, certifications, and relevant coursework

CU

Calcutta University

Bachelor of Commerce, Commerce

Grade: 76.6/100

Bachelor's in Commerce with a score of 76.6/100.

II

Institute of Cost and Works Accountants of India

CMA Intermediate, Cost and Management Accounting

Grade: 68%

Pursued CMA Intermediate with a score of 68%.

Tech stack

Software and tools used professionally

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