Here is a little about me and what I can achieve.

speedLightning-Fast AI Deployment Across Regulated Markets

Here's what I've learned after deploying AI in heavily regulated markets and decentralized protocols: the technology isn't the hard part—it's the compliance, the stakeholder management, and getting systems that pass audits. I've built cloud-native and distributed architectures that handle HIPAA, SOX, FERPA, and smart contract security requirements while still getting to production in 3-8 weeks.

hubMarket-Adaptive AI Systems Across These Enterprise Sectors

rocketFunding Focus: Scaling Enterprise AI Solutions

I'm looking for funding to scale proven enterprise AI solutions. Right now, I'm building three main areas: EU AI Act compliance tooling (massive regulatory need), multi-campus educational dashboards, and healthcare workflow optimization systems.

Why now? Enterprise AI adoption is accelerating with regulatory requirements. I've got validated clients, proven revenue, and I'm based in Austin—one of the best AI talent hubs. The timing is perfect to scale these enterprise solutions.

starFeatured Projects

lightbulbEnterprise AI Systems with Regulatory Compliance

AI systems solving real business problems across enterprise markets. But here's what I've learned: becoming a subject matter expert in enterprise systems can become burdensome and costly if you're not equipped with a balanced team that can orchestrate together for success.

The ROI isn't in creating systems that remove the human element, it's in creating agentic systems that can handle complex tasks while allowing humans to achieve more and produce better output. I believe my purpose is to enable my colleagues by showing them and teaching them the AI tools that are readily available on the market. Education is at the center of a great team, enabling each other to learn from each other, and having frequent round table discussions is critical to success. The AI element can only persist if we have a good human team to enhance it.

Regulatory compliance with existing enterprise systems integration becomes manageable when your team understands how to leverage these tools effectively. The future is AI-enhanced enterprises where humans and AI work together to maintain compliance, efficiency, and most importantly—job satisfaction.

location_onAustin: Enterprise AI Innovation Hub

Research → Development → Deployment → Market Scale → Protocol Integration

Austin, Texas location at the center of enterprise AI innovation. Austin is a think tank for young AI entrepreneurs, and by being in proximity, I am able to leverage going to many AI-related seminars and round table discussions surrounding this topic. Perfect hub for building AI systems that integrate with existing enterprise infrastructure. Rapid scaling across healthcare, education, and compliance markets.