In the past five years, I have focused on delivering impactful AI and machine learning solutions in both healthcare and enterprise environments. At Damco Solutions, I led the development of a healthcare diagnosis recommendation system, leveraging LLMs and multi-modal signals to improve clinical reliability with a 93% accuracy in data extraction. I also worked on designing RAG-based architectures for expert-level economic analysis and developed automated trend detection engines. Currently, I am working on a content intelligence platform, architecting RAG-based search systems and integrating computer vision for multi-modal content extraction.
What makes me unique is my deep experience in developing production-grade AI systems that meet regulatory standards, especially in sectors like healthcare and finance. I specialize in building scalable AI pipelines with a focus on long-term maintainability, robust model evaluation, and the integration of multimodal data. My expertise in AI agent development, model optimization, and MLOps practices enables me to deliver high-performance solutions while ensuring reliability in real-world, high-stakes environments.
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