AI Engineer and Applied Data Scientist with experience designing, deploying, and operating end-to-end data science and generative AI solutions. Specialized in Retrieval-Augmented Generation (RAG), production-grade ML pipelines, and AI assistants integrated with real-time data sources.
Strong background in applied machine learning, NLP, computer vision, and data engineering, with hands-on experience across the full model lifecycle: data ingestion, analysis, feature engineering, model development, evaluation, and deployment in cloud environments.
Experienced in building scalable, reliable, and compliant AI systems, with a particular focus on Responsible AI, regulatory compliance (EU AI Act, GDPR), and production readiness. Comfortable working independently on remote freelance projects and collaborating with distributed, cross-functional teams to deliver data-driven impact.
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