Pierre De Malliard is a Senior AI Solutions Architect specializing in Healthcare & Life Sciences with 8 years of experience building end-to-end AI/ML solutions on AWS. He has hands-on expertise across data architecture, engineering, MLOps and model development—spanning computer vision, LLMs, NLP, forecasting and clinical ML applied to EHR and signal data. His career includes R&D at Masimo and client- and product-facing roles at Capgemini and TensorIoT, giving him a rare blend of edge-device experience and cloud-scale deployment know-how. At AWS he combines pre-sales rigor with technical design to translate complex clinical requirements (FHIR, ICD10, GCP) into production-ready, compliant systems. Pierre is as comfortable with infrastructure automation (IaC, Docker, GitHub Actions) as with statistical modeling and has a disciplined academic foundation from École des Ponts and Columbia in applied math and data science. He is known for navigating interdisciplinary stakeholders to deliver pragmatic, auditable ML solutions that bridge research and operational healthcare needs.
Example of integrating & using Amazon Textract, Amazon Comprehend, Amazon Comprehend Medical, Amazon Kendra to automate the processing of documents for use cases such as enterprise search and discovery, control and compliance, and general business process workflow.
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AWS Retail Demo Store is a sample retail web application and workshop platform demonstrating how AWS infrastructure and services can be used to build compelling customer experiences for eCommerce, retail, and digital marketing use-cases
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