Sharad Garg
Founder Ai-enabled Healthcare Infrastructure Platform (Stealth) @Stealth AI Startup
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WORK HISTORY
Founder Ai-enabled Healthcare Infrastructure Platform (Stealth) @Stealth AI Startup
Building an AI-enabled healthcare platform focused on secure, scalable post-operative and clinical workflow intelligence.Currently in product validation and early development phase, with emphasis on:• Secure-by-design healthcare AI systems• Clinical decision support• Edge-to-cloud healthcare data integration• AI-assisted risk detection and workflow optimization• Compliance-aligned architecture (HIPAA-aware design principles)Leveraging experience in large-scale, mission-critical AI deployments to design healthcare systems that prioritize trust, patient safety, operational resilience, and responsible AI integration.
EDUCATION
Motilal Nehru National Institute Of Technology
B.E., Computer Science
University of Connecticut
Master of Science (MS) & Doctor of Philosophy (Ph.D.), Computer Science
ABOUT SHARAD GARG
I build large-scale, mission-critical technology platforms at the intersection of AI, infrastructure, and enterprise deployment.Over 30+ years at Intel, including serving as Sr. Director for Intel Olympics Technology and CTO of Intel Ignite, I led strategy and solution architecture for global-scale AI-powered systems supporting Olympic and Paralympic Games environments. These deployments required secure, resilient, compliance-aligned execution across distributed edge-to-cloud architectures.My work spans:• HPC, Enterprise AI platforms• Secure-by-design system architecture• Edge-to-cloud integration• Digital twins and real-time analytics• AI-driven operational intelligence• Large-scale public infrastructure systemsI hold a Ph.D. in Computer Science, 20+ patents, and 30+ publications across HPC and distributed systems.Currently, I am building an AI-enabled healthcare platform (stealth) focused on intelligent clinical workflow systems designed for secure, compliant, and scalable deployment. The objective is to bring operational trust, architectural discipline, and responsible AI integration into high-stakes healthcare environments.
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