Pierre 

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Summary

👤
Senior
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.
code8 years of coding experience
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Github Skills (18)

opensearch10
aws-cdk10
amazon-comprehend10
amazon-elasticsearch10
machine-learning10
amplify10
amazon-kendra10
aws10
amazon-textract10
ecommerce9
keras8
amazon-transcribe7
hardware7
python7
raspberry-pi6

Programming languages (3)

JavaScriptJupyter NotebookPython

Github contributions (5)

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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.
Contributions:23 reviews, 20 commits, 45 PRs in 1 year 2 months
amazon-comprehendamazon-kendraamazon-textractaws-machine-learningmachine-learning
pierreaws/retail-demo-store

Oct 2020 - Dec 2020

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
Contributions:77 pushes in 1 month
casesdemo-storeuse-casesecommerceworkshop
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