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Applied AI Engineer
Compétences

Independent Applied AI Engineer
Self Employed • Indépendant
Oct 2025 - Present • 1 yr
• Build practical machine learning solutions and AI-powered applications using Python. • Develop predictive models for classification and other prediction tasks, evaluating performance with appropriate metrics. • Create interactive ML applications using Streamlit and develop model inference APIs with FastAPI. • Work on LLM and RAG application prototypes, including document-based assistants. • Apply AWS cloud deployment workflows to machine learning applications. • Handle data preprocessing, feature engineering, and model development using Pandas, NumPy, and scikit-learn. • Document projects and maintain code on GitHub.