Development Environment
AI-augmented development using Windsurf as the primary IDE agent for multi-file architecture and codebase indexing. Next.js and TypeScript for the frontend. Netlify for edge deployment.
AI & Content Generation
DeepSeek V4 as the daily driver for content generation and scripting — cost-efficient and capable. Claude for complex architecture decisions. Google Colab for cloud-based Python execution without local environment friction.
Behavioral Science & Research
The research layer comes before the technology layer — always. IO Psychology frameworks, validated psychometric instruments, and statistical modeling define what gets built. Python and R handle the analysis. The algorithms emerge from the science, not the other way around.
Data & Analytics
A decade of building analytics systems inside enterprise financial institutions. Power BI and Tableau for executive-facing dashboards. SQL for the data architecture underneath them. Firestore for the production apps.
Enterprise & Governance
Where I came from — large-scale GRC platform management, low-code automation, and risk workflow architecture across regulated financial environments. These tools are in the past-tense part of the stack. They built the pattern recognition I apply everywhere else.