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Competências
Experiência
Machine Learning Engineer Intern — End-of-Studies Project
MLNetworks
2026-02 - 2026-08
Delivered the first production AI model for the PowerAI FieldForce platform, detecting fuel‑theft and reconciling consumption for diesel‑generator telecom towers in Iraq and Jordan. 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 resolved live‑integration issues such as authentication failures and metric drift. Technologies used: Python, XGBoost, scikit‑learn, pandas, NumPy, FastAPI, ClickHouse, Docker.
Computer Science Intern
IDEO Factory
2025-07 - 2025-09
Designed an interactive AI agent with a Streamlit interface that allowed 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. Technologies used: Python, Streamlit, LangChain, PyPDF2, pandas, NumPy, Chroma.
Computer Science Intern
VERTUData
2024-07 - 2024-08
Developed a desktop medical‑management application in C#/.NET, enabling practitioners to register patients and manage records through Windows Forms and WPF interfaces. Implemented CRUD operations and data persistence, improving workflow efficiency for medical staff.
Computer Science Intern
Bots Factory
2023-04 - 2023-05
Built a mobile weather application in Java that displayed 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 the overall product UI.
Idiomas
Francais
fluent
English
fluent
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