This includes guiding the creation of AI/ML engines and models trained on domain-specific datasets, aligned with real-world clinical, operational, and customer workflows. A strong emphasis is placed on responsible AI practices, including model quality, transparency, explain ability, security, and regulatory compliance. * Deep hands-on expertise across modern software engineering domains, including: Contemporary frontend application development frameworks and practices, Backend systems based on cloud-native, microservices-oriented architectures, Native and cross-platform mobile application development for iOS and Android, AI/ML model development and deployment, leveraging domain-driven and production-grade datasets, Strong understanding of cloud platforms, containerization technologies, and distributed systems
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