Richie Lee is a Cloud & AI Specialist with nine years of experience helping organisations navigate Data & AI journeys on Azure, blending technical rigor with strategic product thinking. He has driven adoption, design and implementation across IT, AI and applied science projects at Microsoft and in consultancy, with hands-on work in ML/LLM ops, Azure ML, Microsoft Fabric and security-focused cloud architecture. As a former data scientist specialising in causal inference, he has practical experience in Bayesian A/B testing, sequential experimentation and pricing experiment design. Richie also led greenfield audit analytics and early-stage in-house LLM MVPs, and contributes to the popular dbatools open-source project improving SQL Server automation and deployment workflows. Based in Dublin, he brings a rare mix of probabilistic thinking, LLM security interest and public speaking experience, and balances full-time engineering with running, blogging and parenting. His background in econometrics and deep learning underpins a data-driven approach to building reliable, production-ready AI solutions.
9 years of coding experience
3 years of employment as a software developer
Minor Deep Learning, Minor Deep Learning at Vrije Universiteit Amsterdam (VU Amsterdam)
Master of Science - MSc Econometrics and Management Sciences, Master of Science - MSc Econometrics and Management Sciences at Erasmus University Rotterdam
🚀 SQL Server automation and instance migrations have never been safer, faster or freer
Role in this project:
Database Engineer / Database Administrator
Contributions:15 commits, 12 PRs, 1 push in 11 months
Contributions summary:Richie's contributions primarily focused on enhancing and refining the `dbatools` PowerShell module, which automates SQL Server tasks. They added and improved several functions related to deploying, exporting, and publishing dacpac files, which are used for managing database schema and deployments. The user also incorporated checks for database existence, corrected bugs, and refined output messages to improve the user experience. Furthermore, their work included outputting deployment options and SQL command variable values, indicating an understanding of deployment configuration and best practices.
Azure DevOps Plugin that will publish a packageto PowerShell
Contributions:42 PRs, 74 pushes, 3 branches in 2 years 1 month
publishazure-devops-plugindevopspowershellazure
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