USCIS-Grounded AI: Preventing Hallucinations in Immigration Legal Services
ONU Student Research Colloquium (Under Review — Elsevier Digital Commons)
Thought Leadership
Thinking
Research. Positions. Perspectives. This is where I share what I'm working on, what I believe, and where technology needs to go.
Peer-Reviewed
Publications
AI-Driven Framework for Automating Infrastructure Provisioning and Compliance Validation
IEEE International Conference, Berlin
Deep Learning Technique using Hybrid Features for Speech Emotion Detection
IEEE Transactions on Affective Computing
Automating Security in IaC: A New Paradigm for DevSecOps
Journal of Cybersecurity and Privacy
Referenced in ESP JETA — downstream citation of ICCE-Berlin 2025 paper on AI-driven infrastructure automation
ESP Journal of Engineering, Technology and Applications
Innovation
Patents (Pending)
2024
System and Method for AI-Assisted Security Policy Generation in Infrastructure as Code
2025
Automated Compliance Validation Framework for Multi-Cloud AI Workloads
Perspectives
What I'm Exploring
AI Ethics & Responsible Innovation
Building systems that scale without compromising integrity — exploring bias prevention, explainability, and societal impact in enterprise AI.
Enterprise Architecture in the AI Era
How traditional architecture frameworks must evolve to accommodate ML pipelines, LLM integration, and AI-first design patterns at enterprise scale.
Security as Code
The future of DevSecOps isn't bolt-on compliance — it's automated, embedded, and AI-assisted. My patents and research live here.
IP Law Meets Technology
As I pursue legal education, I'm exploring how intellectual property frameworks must adapt to AI-generated content, algorithmic patents, and digital governance.
Cloud Architecture at Scale
Multi-cloud strategy, platform engineering, and the architecture decisions that determine whether enterprise systems thrive or stagnate.
Women & Underrepresented Leaders in Tech
Strategies, systems, and stories that support leadership growth for underrepresented voices in AI, engineering, and executive roles.
Essays
Recent Writing
The Intelligence Stack: Why the Next Decade Belongs to Builders Who Refuse to Specialize
A thesis on why the most consequential technology leaders of the next decade will be the ones who build across AI, infrastructure, governance, and law, not the ones who pick a lane.
Enterprise Architecture in the Age of AI: What Has to Change
Traditional enterprise architecture frameworks weren't built for AI workloads. Here's what needs to evolve, from governance models to reference architectures.
Why Security Must Be Code, Not an Afterthought
The future of DevSecOps isn't bolt-on compliance. It's automated, embedded, and AI-assisted. Here's why Infrastructure as Code changes everything.
What I Learned Building a 90-Person Company Before 30
Lessons from founding and scaling Nengao Computer Technology: on leadership, culture, the cost of growth, and why I'd do it all differently and exactly the same.
The Case for Building Across Domains
Why the most impactful technologists refuse to specialize in just one thing, and how building across AI, enterprise, education, and law creates compounding returns.
The Multi-Cloud Trap: When Choice Becomes Complexity
Multi-cloud strategies promise flexibility and avoid vendor lock-in. In practice, they often deliver the opposite. Here's how to get it right.
Why I'm Studying Law as a Technologist
With two doctorates in tech, why pursue IP law? Because the people building AI need to understand the legal frameworks that will govern it.
AI Ethics: Beyond the Checklist
Most AI ethics frameworks fail because they treat ethics as compliance. Here's what responsible AI actually requires from leaders and builders.
Brain Training That Actually Works: The Science Behind SynvIQ
Most brain training apps make claims they can't back up. Here's how SynvIQ approaches cognitive training differently, with psychometrics, adaptive algorithms, and honest science.