Consulting through PragmaNexus.
I help teams turn a specific problem into working software, from AI products to internal tools and production ML. I can work with an engineering team or handle the technical work myself.
Typical work
- Applied AI products and product features
- Agentic systems and workflows
- Internal AI tools
- ML and data systems
- Technical reviews and engineering practices
How I work
Engagements start with the same question: what is the most important problem you are trying to solve, and where does AI actually add value for it?
I start by understanding the users, the existing system, and what the software needs to do. From there, the work might be an assessment, a focused prototype, an improvement to an existing system, or a production build.
I work in short cycles using real data and feedback from the people doing the job.
Sometimes the answer is an AI system. Sometimes it's traditional software, a process change, or a decision not to build anything.
Even the advisory work is hands-on, in the codebase. I judge the work by whether the team can test, operate, and maintain the result once I'm out of the picture.
Case studies
On the PragmaNexus site ↗- Investment Research Platform
- Production ML Pipeline Assessment
- Document Generation System
- AI-Assisted Development Rollout
- Predictive Scheduling Model
- Applied AI Workshop
Tell me what you're working on.
What's stuck, what you've tried, and what a useful outcome would be. A few sentences is plenty.