Sabah Shamsher

Artificial intelligence is rapidly transforming healthcare by enhancing the speed, accuracy, and personalization of clinical decision making. With advances in machine learning, natural language processing, and predictive analytics, AI systems can analyze large-scale medical datasets, identify diagnostic patterns, and assist clinicians in developing evidence-based treatment plans. AI-powered tools such as clinical decision support systems, imaging diagnostics, and automated patient triage are improving early detection of diseases, reducing medical errors, and enabling data-driven patient care. As healthcare systems adopt cloud-based architectures and integrate real-time data from electronic health records, wearables, and genomics, AI will play a crucial role in personalized medicine and population health management. While challenges remain—including data privacy, model transparency, and ethical concerns—continued innovation and regulatory alignment will solidify AI’s role as a core component of next-generation clinical decision making.

Biography:

Sabah S is a Full Stack .NET and Golang Engineer with over 15 years of experience building cloud-native, microservice-driven enterprise applications across Azure and AWS. She specializes in backend development using .NET Core, C#, Golang, and RESTful API design, with strong expertise in SQL Server, PostgreSQL, and MongoDB. Her frontend experience includes React, Angular, TypeScript, and modern UI frameworks. At Zillow Group, she leads the design and deployment of scalable microservices, event-driven architectures, and AI-assisted DevOps pipelines—enhancing system reliability, performance, and developer productivity. She has extensive experience in automation using Kubernetes, Terraform, Azure DevOps, and Jenkins, along with advanced observability solutions using DataDog, Grafana, and Application Insights.