🤖 As an AI and Machine Learning Engineer I have extensive hands-on experience in all stages of the model lifecycle management, from initial development (model training and validation) as well as in MLOps. In addition, I bring strong data engineering expertise, designing and operating scalable batch and streaming pipelines, feature stores, and lakehouse architectures with robust data quality and lineage, making sure models are powered by reliable, production-grade data. I ensure that once models reach production, they remain reliable and scalable. I also design and implement state-of-the-art monitoring systems that track performance in real time and automatically trigger retraining and redeployment when needed, so that every model continues delivering consistent, high-quality results.
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A flexible and extensible Python library designed for building graph-driven workflows powered by AI agents.
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