Abdallah M.

Key Skills

Software

AWS SageMaker

Clickworker

Data Annotation Tech

Scale AI

Top Subject Matter

NLP / Text classification and sentiment analysis

Conversational AI / Content generation and commerce automation

Top Data Types

Image

Text

Video

Top Task Types

Computer Programming/Coding

Data Collection

Prompt + Response Writing (SFT)

RLHF

Translation/Localization

Fine-tuning

Freelancer Overview

Machine Learning Intern — DEPI (Microsoft AI Engineer Track) (Apr 2024 – Oct 2024). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Microsoft Azure (ML Studio, Cognitive Services, and AKS). Education includes Artificial Intelligence Professional Program, Information Technology Institute (ITI) (2025) and Bachelor of Computers and Artificial Intelligence, Faculty of Computers and Artificial Intelligence, University of Sadat City (2025). AI-training focus includes data types such as Text, Computer Code, and Programming

Labeling Experience

AI & automation Engineer — Remote (Saudi Arabia) (Aug 2025 – Present)

Prompt + Response Writing (SFT)

Designed AI-driven automation pipelines and conversational commerce bots for customer-facing workflows. Implemented systems that generate marketing and product content and coordinated end-to-end orchestration across models, APIs, and messaging platforms. Supported purchasing flows through REST API integrations and database connectivity. • Built ad generation pipelines to automatically produce marketing text and enhance product images. • Developed conversational commerce bots enabling vendors to create stores, manage products, and launch campaigns via WhatsApp. • Implemented customer-facing bots for product discovery, promotions, and end-to-end purchasing using REST APIs and databases. • Orchestrated workflows integrating AI models with third-party APIs and messaging platform delivery.

2025 - Present

Machine Learning Intern — DEPI (Microsoft AI Engineer Track) (Apr 2024 – Oct 2024)

TextFine-tuning

Trained and applied NLP models for text classification and sentiment analysis during an AI internship. Worked with Transformer architectures and Azure tooling to build and deploy deployed ML solutions. Participated in real-world projects spanning speech recognition, recommendation, and MLOps delivery pipelines. • Applied Transformers such as BERT and GPT for classification and sentiment analysis workflows. • Trained models using feature engineering and hyperparameter tuning techniques. • Deployed NLP/ML models via Azure services including ML Studio, Cognitive Services, and AKS. • Delivered projects that required preparing and using labeled datasets for evaluation and deployment.

2024 - 2024

Education

Work History