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Muhammad Saeed Muhammad Hassan

AI Training and Fine-tuning for NLP Projects

EGYPT flag
Alexandria, Egypt
$6.50/hrIntermediateOther

Key Skills

Software

Other

Top Subject Matter

AI/Natural Language Processing
Computer Vision/Handwritten Digit Recognition
Conversational AI/NLP

Top Data Types

TextText
ImageImage

Top Task Types

Fine Tuning
Classification
Text Generation

Freelancer Overview

AI Training and Fine-tuning for NLP Projects. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes High School Diploma, Alexandria STEM School (2026). AI-training focus includes data types such as Text and Image and labeling workflows including Fine-tuning, Classification, and Text Generation.

IntermediateArabicFrenchEnglishJapanese

Labeling Experience

AI Training and Fine-tuning for NLP Projects

OtherTextFine Tuning
As part of AI development projects, I contributed to training and fine-tuning machine learning models for natural language processing tasks. This involved preparing text datasets, annotating relevant data for supervised learning, and iteratively refining model outputs for improved performance. I also collaborated with peers and mentors to ensure data quality and task relevance. • Participated in data annotation and preparation for NLP model training • Fine-tuned language models on curated text corpora • Conducted evaluation and iterative improvement of AI outputs • Worked cross-functionally to integrate NLP models into prototype applications

As part of AI development projects, I contributed to training and fine-tuning machine learning models for natural language processing tasks. This involved preparing text datasets, annotating relevant data for supervised learning, and iteratively refining model outputs for improved performance. I also collaborated with peers and mentors to ensure data quality and task relevance. • Participated in data annotation and preparation for NLP model training • Fine-tuned language models on curated text corpora • Conducted evaluation and iterative improvement of AI outputs • Worked cross-functionally to integrate NLP models into prototype applications

2023 - Present

Conversational Data Annotation for AI Chatbot

OtherTextText Generation
For a chatbot project, I curated and annotated conversational text data to develop a model capable of intent recognition and response generation. Tasks included writing example dialogues, defining intents, and labeling expected responses for supervised fine-tuning. The annotation process ensured a diverse and contextually relevant dataset for training a natural language model. • Authored prompt-response pairs for chatbot training • Defined and labeled intent categories for dialogue handling • Reviewed and corrected model-generated outputs • Facilitated model fine-tuning for conversational accuracy

For a chatbot project, I curated and annotated conversational text data to develop a model capable of intent recognition and response generation. Tasks included writing example dialogues, defining intents, and labeling expected responses for supervised fine-tuning. The annotation process ensured a diverse and contextually relevant dataset for training a natural language model. • Authored prompt-response pairs for chatbot training • Defined and labeled intent categories for dialogue handling • Reviewed and corrected model-generated outputs • Facilitated model fine-tuning for conversational accuracy

2024 - 2024

Image Data Labeling for Digit Recognition Model

OtherImageClassification
During a personal project, I labeled and prepared image data sets for training a convolutional neural network for handwritten digit recognition. The task included annotating images, organizing data splits, and ensuring sufficient data quality for high accuracy. I also applied augmentation techniques to diversify the dataset and enhance model generalization. • Labeled MNIST digit images for model input • Managed data preprocessing and augmentation • Implemented practices for balanced and representative datasets • Achieved high accuracy through effective data labeling and preparation

During a personal project, I labeled and prepared image data sets for training a convolutional neural network for handwritten digit recognition. The task included annotating images, organizing data splits, and ensuring sufficient data quality for high accuracy. I also applied augmentation techniques to diversify the dataset and enhance model generalization. • Labeled MNIST digit images for model input • Managed data preprocessing and augmentation • Implemented practices for balanced and representative datasets • Achieved high accuracy through effective data labeling and preparation

2023 - 2023

Education

A

Alexandria STEM School

High School Diploma, Science, Technology, Engineering, and Mathematics

High School Diploma
2022 - 2026

Work History

L

Local Tech Companies

AI Development Intern

Alexandria
2023 - Present