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From AI News Site to Product Development

After the 2024 elections, I set out to build a JavaScript/Database-backed news site to create a personal space where I could ingest and analyze news independently. Using the GDELT Data Project and AI models, I explored how different models could examine multiple stories and extract only the facts.

Developing an autonomous AI-driven news site came with many challenges, which led to several programming solutions. I thought, why not take it a step further and build front-ends for these backend tools? That’s how products like QA Retriever, Image Retriever, and SuperConvert were born.

Join me as I walk through the creation of these applications and the challenges they presented, not just in AI, but across many different IT disciplines, security, and leadership.

AI-Powered Applications

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Image Retriever

Find the right image, not just any image. AI-enhanced search that understands your intent.

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QA Retriever Logo

QA Retriever

AI-powered QA for websites. Analyze responsiveness, color contrast, and UX across devices.

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IT Leadership & Expertise

From data centers to AI pipelines, I’ve led teams and built systems that scale. Explore insights, architecture diagrams, and thought leadership.

“Leadership is not about being in charge. It’s about taking care of those in your charge.”
— Simon Sinek
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