I am a Senior Technology Architect with 19 years of experience designing cloud-native digital healthcare platforms and data-driven products. My core specialization is healthcare interoperability, with deep hands-on experience in FHIR and openEHR, designing systems that enable secure, standards-compliant data exchange across clinical, operational, and partner ecosystems. I focus on building scalable APIs, integration layers, and event-driven architectures that can evolve with regulatory and business change. In recent years, my work has strongly aligned with cloud and Generative AI system design. I design and build Cloud + GenAI architectures that move beyond prototypes — incorporating LLM integrations, data pipelines, vector search, security controls, observability, and cost-awareness into production-ready systems. As an architect, I work across: Solution and system architecture Cloud-native design on AWS and Azure API, integration, and event-driven systems GenAI-enabled applications and workflows Data engineering and orchestration I maintain a build-first approach — translating requirements into working systems, analyzing architectural trade-offs, and explaining the why behind design decisions. I enjoy mentoring engineers by teaching how to think like architects, not just how to use tools. Technologies I work with include AWS, Azure, Java, Python, JavaScript/Node.js, Quarkus, Kafka, Docker, Airflow, and relational databases, and I am particularly interested in modern API modeling, OpenAPI, Apache Hudi, and scalable GenAI platform architectures.