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ai_mahmoud

Mahmoud E

@ai_mahmoud

Machine Learning Engineer, Mobile Apps and AI

Egipto
Árabe, Inglés, Español
Parte de la información aparece en idioma inglés.
Sobre mí
Machine learning engineer who builds mobile apps with real AI inside them, not bolted on after - also open to general mobile app builds. Shipped two client apps for a telecom company: a bulk-USSD campaign tool and a call-outcome classifier, both in production. ML work: an agentic finance assistant (FastAPI + Claude), a digital twin predicting sensor readings and flagging anomalies, and a jet-image classifier for a physics research program (GSoC 2026). Stack: Flutter/Kotlin, PyTorch/scikit-learn, FastAPI. I test what I ship and flag scope issues before starting, not after.... Lee más

Habilidades

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ai_mahmoud
Mahmoud E
desconectado • 
Tiempo medio de respuesta: 1 hora

Revisa mis servicios

Desarrollo de aplicaciones para Android
I will build a mobile app with machine learning and ai features

Experiencia laboral

Microsoft

Data Science Lead — Microsoft Student Club

Microsoft • Tiempo parcial

Oct 2025 - Present10 mos

Led data analytics and business intelligence training for 50+ students, focusing on real-world applications. Designed and delivered an end-to-end BI curriculum covering data cleaning, transformation (Power Query), data modeling, and dashboard creation (Power BI). Introduced SQL fundamentals through business-driven scenarios and guided students in defining KPIs and making data-driven decisions.

ScaleHub

AI Data Trainer

ScaleHub • Freelance

Jun 2024 - Oct 20244 mos

Reviewed and improved AI-generated Python code for correctness, clarity, and logical consistency. Labeled and structured datasets for machine learning and NLP tasks under strict quality standards. Identified weaknesses in model reasoning, safety, and factual accuracy, contributing to improved model performance.

Orange

Summer Intern

Orange • Tiempo parcial

Jul 2023 - Jan 20246 mos

Cleaned and structured operational datasets using Excel to support reporting workflows. Assisted in data preparation pipelines and documentation for internal teams. Gained hands-on exposure to telecom data operations and enterprise data handling practices.