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0 years of experience

Skills

Python Machine Learning XGBoost FastAPI Docker ClickHouse scikit-learn pandas NumPy Streamlit LangChain C# .NET Flutter Django

Experience

Machine Learning Engineer Intern — End-of-Studies Project

MLNetworks

2026-02 - 2026-08

Delivered the first production AI model for the PowerAI FieldForce platform, a near‑real‑time fuel‑theft detection service for telecom tower sites in Iraq and Jordan, targeting 15‑30% fuel loss. Engineered eleven telemetry‑based features and combined a rule‑engine with an XGBoost classifier, achieving 94.1% precision and 87.0% recall. Deployed the model as a FastAPI REST service containerised with Docker, backed by ClickHouse, and handled live‑integration issues such as authentication failures and metric drift. Utilised Python, XGBoost, scikit‑learn, pandas, NumPy, FastAPI, ClickHouse and Docker.

Computer Science Intern

IDEO Factory

2025-07 - 2025-09

Designed an interactive AI agent with a Streamlit interface that allows users to upload documents and query them, integrating multiple AI models and advanced retrieval features. Implemented document parsing with PyPDF2 and vector storage using Chroma, orchestrated via LangChain. Demonstrated rapid prototyping of AI‑augmented applications using Python, pandas and NumPy.

Computer Science Intern

VERTUData

2024-07 - 2024-08

Developed a desktop medical‑management application in C#/.NET with Windows Forms and WPF, enabling practitioners to register patients and manage records. Implemented CRUD operations, data validation and a user‑friendly UI, delivering a functional tool for healthcare workflow automation.

Computer Science Intern

Bots Factory

2023-04 - 2023-05

Built a mobile weather application in Java that displays live conditions for the user's location or any searched city using a public API. Contributed to front‑end web tasks with HTML, CSS and JavaScript, enhancing cross‑platform responsiveness.

Languages

Francais

fluent

English

intermediate

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Last updated: 3 hete