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I am Zahra Ahmadimehr, an AI engineer passionate about the capabilities of large language models and generative AI, especially for text generation, question answering, and classification tasks. Additionally, I have a strong interest in computer vision for image analysis and aim to contribute to advancements in this field. My background includes a Master of Science in Artificial Intelligence and hands-on experience developing AI solutions and REST APIs. I have worked with transformer-based models and fine-tuned pretrained models for low-resource languages, combining research and practical development to deliver innovative AI applications.…I am Zahra Ahmadimehr, an AI engineer passionate about the capabilities of large language models and generative AI, especially for text generation, question answering, and classification tasks. Additionally, I have a strong interest in computer vision for image analysis and aim to contribute to advancements in this field. My background includes a Master of Science in Artificial Intelligence and hands-on experience developing AI solutions and REST APIs. I have worked with transformer-based models and fine-tuned pretrained models for low-resource languages, combining research and practical development to deliver innovative AI applications.

Zahra Ahmadimehr

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I am Zahra Ahmadimehr, an AI engineer passionate about the capabilities of large language models and generative AI, especially for text generation, question answering, and classification tasks. Additionally, I have a strong interest in computer vision for image analysis and aim to contribute to advancements in this field. My background includes a Master of Science in Artificial Intelligence and hands-on experience developing AI solutions and REST APIs. I have worked with transformer-based models and fine-tuned pretrained models for low-resource languages, combining research and practical development to deliver innovative AI applications.…I am Zahra Ahmadimehr, an AI engineer passionate about the capabilities of large language models and generative AI, especially for text generation, question answering, and classification tasks. Additionally, I have a strong interest in computer vision for image analysis and aim to contribute to advancements in this field. My background includes a Master of Science in Artificial Intelligence and hands-on experience developing AI solutions and REST APIs. I have worked with transformer-based models and fine-tuned pretrained models for low-resource languages, combining research and practical development to deliver innovative AI applications.

Available to hire

I am Zahra Ahmadimehr, an AI engineer passionate about the capabilities of large language models and generative AI, especially for text generation, question answering, and classification tasks. Additionally, I have a strong interest in computer vision for image analysis and aim to contribute to advancements in this field.

My background includes a Master of Science in Artificial Intelligence and hands-on experience developing AI solutions and REST APIs. I have worked with transformer-based models and fine-tuned pretrained models for low-resource languages, combining research and practical development to deliver innovative AI applications.

Skills

Experience Level

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

Persian

Fluent

English

Advanced

Work Experience

AI Backend Developer at Al-Hami company

October 1, 2024 - Present

Developed REST APIs using Python and Flask for the web application backend. Conducted exploratory data analysis on job market trends in Oman, identifying skill gaps and language requirements through semi-manual data collection and NLP techniques.

Research Assistant (AI/ML) at Khatam University Innovation Center

August 31, 2024 - August 21, 2025

Designed and tested multilingual text classification pipelines focusing on under-resourced languages such as Persian. Pre-processed and annotated custom datasets for sarcasm and sentiment detection using semi-automated tools. Experimented with transformer-based models (XLM-R, mBERT) to analyze generalization across languages and domains. Fine-tuned pretrained models for low-resource tasks and evaluated robustness with domain-adapted metrics.