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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, targeting 15‑30% loss reduction. Engineered eleven features from telemetry data and built a rule‑based engine combined with an XGBoost classifier, achieving 94.1% precision and 87.0% recall. Deployed the model as a REST API using FastAPI, Uvicorn and 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 allows users to upload documents and query them, integrating multiple AI models and advanced retrieval features. Implemented document parsing with PyPDF2 and vector storage with 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 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 the overall user experience.
Formação
Diplôme d'Ingénieur d'État — Computer and Network Engineering (IIR)
Idiomas
Francais
fluent
English
fluent
Última atualização: há 3 semanas