Daniel Dean
Principal Cloud Solution Architect Advanced Analytics And AI at Microsoft
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolDaniel Dean is a Principal Cloud Solution Architect specializing in advanced analytics and AI with a decade of experience architecting cloud-native ML and big data solutions for enterprises. At Microsoft he has led prototypes and accelerators that blend Azure OpenAI, GPT-4o, Spark, and Document Intelligence to automate literature review, batch AI processing, anomaly explanation, and high-throughput analytics for healthcare, pharma, and supply chain customers. His work consistently focuses on turning complex business outcomes into scalable prototypes that bridge research and production, delivering measurable cost savings and operational impact. A PhD-trained systems researcher, he pairs deep distributed-systems expertise with hands-on engineering—building everything from secure big-data storage and key management to RabbitMQ-enabled parallel ingestion systems. He also mentors technical and non-technical teams and publishes academic work, reflecting a rare mix of rigorous research, practical engineering, and customer-facing solution design.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at North Carolina State UniversityMS Computer Science, MS Computer Science at Stony Brook University
English
Github Skills (33)
mlops-project10
microsoft10
architecture10
azure10
mlops-workflow10
documentation10
r9
java9
machine-learning9
devops9
mlops9
deep-learning9
streaming8
python8
scale8
Programming languages (7)
Github contributions (5)
djdean/mlops-templates-GHA-dev
Jun 2022 - Mar 2023
Contributions:1 PR, 251 pushes, 3 branches in 8 months
djdean/PythonSyntheaFHIRClient
Jan 2022 - Jun 2022
Contributions:2 PRs, 41 pushes, 1 branch in 4 months
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