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Designs and scales back-end data pipelines and AI infrastructure, enabling robust data ingestion and processing for AI-driven products.
Build and scale backend systems, data pipelines, and AI/ML data flows using Python, PostgreSQL, Kafka, and cloud platforms to power AI-driven products.
Designs scalable backend systems and data architectures while collaborating with AI teams to power modern AI-driven products.
Design and build scalable data platforms and AI pipelines, integrating ML outputs into backend systems using PostgreSQL, Kafka, and Python.
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