Begoal S.

Key Skills

Software

Other

Top Subject Matter

AI/ML education support

programming & robotics fundamentals

Customer analytics data preprocessing for AI/ML-ready analytics

Top Data Types

Text

Top Task Types

Classification

Text Generation

Question Answering

Text Summarization

Prompt + Response Writing (SFT)

Freelancer Overview

AI Engineer with hands-on experience building and deploying end-to-end ML systems, from data preprocessing, feature engineering, and model training to production deployment. Skilled in designing robust machine learning pipelines with rigorous evaluation using GridSearchCV and cross-validation across algorithms including XGBoost, LightGBM, CatBoost, and Neural Networks. Specialized in NLP and RAG pipelines, with a strong track record of delivering real-world applications using FastAPI, Docker, and HuggingFace. Proven ability to move beyond modeling into full-stack ML delivery — including local LLM inference, REST APIs, and cloud deployment across Google Cloud, Render, and HuggingFace Spaces.

Labeling Experience

STEAM Instructor — Pyramakerz

Other

In this role, the candidate taught students programming and robotics concepts with hands-on project work that supported AI/Machine Learning learning activities. They designed and delivered practical exercises aimed at improving students’ logical thinking and technical implementation skills. The experience included continued independent building and deploying ML projects during the same period. • Classroom instruction on programming concepts • Guidance on hands-on student projects • Independent continuation of ML project building and deployment • Mentoring-focused technical delivery

2025 - 2026

Data Analysis Intern, Telecom Egypt (Smart Village)

OtherText

The internship focused on transforming and preprocessing large, unstructured customer datasets to support analytics and downstream modeling tasks. The work involved cleaning and preparing data for dashboarding and business KPI reporting rather than traditional manual labeling. Although direct annotation is not explicitly stated, the preprocessing work is part of an AI/ML-ready data preparation pipeline for structured analysis. • Preprocessed unstructured customer datasets • Built business-focused KPI visualizations • Enabled churn and ARPU analysis workflows • Used Power Query and DAX for data transformation

2024 - 2024

Education

Work History