Senior software engineer with sixteen years across Oracle PL/SQL internals, Azure DevOps automation, and the .NET / Python ecosystem — now building AI/ML systems at the seam where deep database work meets applied machine learning.
I work at the intersection of enterprise data platforms and applied AI. The last sixteen years have been Oracle stored procedure architecture, package dependency analysis, and DevOps pipelines that move database changes through Dev, Test, and Prod with ServiceNow change-request integration.
The next chapter is building tooling that uses LLMs to understand and reshape that infrastructure — agent-driven Oracle debuggers, automated data pipelines on Azure, and developer tools for the kind of code that has lived in enterprise databases for decades. Currently working through Andrew Ng's ML Specialization, the Deep Learning Specialization, and Karpathy's Zero to Hero series, alongside the Claude Certified Architect track.
PL/SQL toolkit for tracing Oracle package dependencies, identifying broken references, and visualizing object relationships across schemas. The kind of internals work that's surprisingly absent from public repositories.
A modern Oracle dependency analyzer with a React dashboard and PostgreSQL-backed analysis layer. Positioned as an affordable alternative to legacy tools for teams maintaining mature Oracle codebases.
Multi-session React + Flask tool for animated Oracle package debugging with live database connectivity. Uses Claude as the analysis engine and provides step-through visualization of package execution paths.
Production pipeline pattern for Oracle DML-only deployments with ServiceNow CR integration via REST API polling, multi-environment promotion, and self-hosted Windows agents. Built to make database deployments as auditable as application deployments.
.NET console application reading CSV input, invoking Oracle stored procedures with SYS_REFCURSOR output, and streaming results to Azure Blob Storage with SAS token authentication. A small repo demonstrating four production stack pieces working together.
Oracle database development, Azure DevOps automation, .NET and Python tooling for enterprise data platforms. Building deployment infrastructure that bridges legacy database work and modern CI/CD practice.
Full-stack delivery across K2 Blackpearl, Mendix, and Agile delivery practices. Process optimization and automation work spanning multiple enterprise customers.
For collaboration, technical questions, or interesting problems at the database / AI seam.