Building AI Systems That Work
I help organizations understand what's actually possible with large language models and build solutions that work. After 20+ years building data systems and leading teams, I founded PragmaNexus to provide strategy, implementation, and training that helps teams cut through the AI hype and solve real problems.
My Approach
I start with your actual business problems, not the technology. These tools can solve problems in ways that weren't possible before, but the key is figuring out what's worth building. Not every problem needs AI, but when it fits, it can open up new possibilities.
I've worked across quantitative finance (trading algorithms and investment research), consumer brands (ML platforms analyzing 100,000+ businesses), small business software (data infrastructure from the ground up), logistics, and healthcare. While I know these sectors well, I'm drawn to interesting problems in any industry.
I build production LLM systems that solve problems you couldn't tackle before - from processing complex documents to generating insights from unstructured data. My focus is on creating real value and leveraging these tools where they make the biggest impact.
When you need predictable, interpretable results, I build traditional ML models and data pipelines. A decade of experience means I can quickly identify the right approach for your constraints.
Services I Offer
- Strategy & Evaluation — Figure out what's actually worth building and which approach will work for your specific situation
- Implementation — Build production systems alongside your team, whether that's LLM applications, ML models, or data pipelines
- Training & Workshops — Help your team understand and apply these technologies through hands-on sessions and practical examples
- Ongoing Support — Stay available to help your team evolve and improve the systems we've built
Let's figure out what's actually worth building for your business.