Generative AI

I'm drawn to solving business problems... the right way. That means I don't reach for AI because it's trendy or because it's in every headline. I reach for it because the data and context demand it. Too many organizations add AI tools without asking the fundamental question: Is this actually the right solution? My approach is different. I start by understanding your business challenge deeply, then architect the right solution—which sometimes means using AI, and sometimes means using other tools.

As an AI Solution Architect (certified through ELVTR), I follow a rigorous four-phase methodology designed to ensure every solution delivers real value:

• Discovery: I start by defining your objectives using SMART criteria and honestly assessing whether AI is the right tool. Many problems are better solved through process improvements or traditional technology. This phase is about clarity, not assumptions.
• Architecture: Once we've confirmed AI is the answer, I design the solution. This means selecting the right models and platforms, evaluating whether to build or buy based on your budget and timeline, and planning your data strategy for success.
• Implementation: I guide the prototyping, quality assurance, and iterative refinement process. Here's what's critical: domain experts validate every model output before it goes live. AI shouldn't replace human judgment, it should enhance it.
• Deployment and Ongoing Maintenance: Launch is just the beginning. I establish monitoring systems, manage user acceptance testing, and implement continuous improvement based on real-world performance data. The best solutions evolve to changing market demands and business needs.

I believe in proof over promises. I've developed and deployed live AI applications that demonstrate both technical capability and practical utility:

Championing AI Process Adoption at Drumline

At Drumline, I've led the charge on internal AI process adoption, designing and launching the Content Resonance Engine—a proprietary tool that accelerates our ability to create effective, brand-aligned blog and social media content. What once required multiple rounds of iteration now happens in a fraction of the time, freeing our team to focus on strategy and creative direction while AI handles the heavy lifting of production-level output.

Building Real AI-powered Tools

Below are just some examples working tools people can use now that show what's possible when you combine solid architecture with real-world problem-solving.

I approach AI implementation with both enthusiasm and rigor. Effectiveness matters, but so does ethics. I design systems with clear governance, privacy compliance, and transparency built in from the start. AI should amplify human expertise, not replace it. Whether I'm architecting solutions for internal teams or advising on adoption strategy, my focus is ensuring AI creates genuine value while maintaining the trust and standards that matter.

As AI capabilities evolve, I'm committed to staying on the cutting edge—exploring emerging tools, building new applications, and helping organizations navigate adoption thoughtfully. The future belongs to teams that can implement AI effectively and intentionally. I'm focused on making sure yours is one of them.