I am a data and AI engineering leader with over a decade of experience building scalable data platforms and production-grade AI systems. My expertise spans real-time data pipelines, data modeling, and retrieval-augmented AI architectures, with a focus on making AI systems reliable, interpretable, and aligned with real-world decision-making. I have led the development of end-to-end data products across cloud environments, bridging data engineering and applied AI to deliver measurable business impact. My work emphasizes practical challenges such as data quality, system design, and operational scalability, areas that often determine success in production AI. I also contribute to the data and AI community through technical writing, conference speaking, and judging hackathons and industry ...