Deepak Sharma is a senior informatics leader and hands-on engineer with over two decades of experience translating clinical and research needs into interoperable, production-grade AI and semantic-web solutions. Based at Mayo Clinic and affiliated with the University of Minnesota, he leads AI/ML engineering, FHIR governance, and MLOps efforts that operationalize models into EMRs and cloud platforms like GCP and Azure. His expertise spans HL7 FHIR, OpenEHR, CIMI, knowledge graphs (RDF/OWL, ShEx), NLP, genomics-to-FHIR mapping, and healthcare data standards—skills he has applied to projects from pediatric A-GPS prediction systems to SDOH-driven equity platforms. A published researcher and longtime HL7 contributor, he blends standards development with pragmatic tool-building (e.g., FHIR RDF delivery, D2Refine, FHIR synthetic-data pipelines) to accelerate clinical research and deployment. He mentors cross-functional teams, steers AI validation/stewardship programs, and is notable for turning complex semantic models into maintainable engineering artifacts. Deepak’s unique combination of deep standards fluency and production MLOps experience makes him a bridge between clinical domain experts and scalable software delivery.
9 years of coding experience
22 years of employment as a software developer
Doctor of Philosophy - PhD Bioinformatics and Computational Biology, Doctor of Philosophy - PhD Bioinformatics and Computational Biology at University of Minnesota-Rochester
Post B.S. Diploma in Computer Science & Applications Computer and Information Sciences and Support Services, Post B.S. Diploma in Computer Science & Applications Computer and Information Sciences and Support Services at Kurukshetra University
University of Delhi
Master’s Degree Computer Science & Applications, Master’s Degree Computer Science & Applications at Savitribai Phule Pune University
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