// about
No corporate framing. Just a builder testing things and publishing results honestly.
By day, I am an Associate Director and Principal Architect focused on building the Agentic Enterprise. I solve the problem of integrating modern AI into rigid, legacy core systems in highly regulated industries. I design enterprise-grade AI platforms, high-throughput data pipelines (specializing in Google Cloud's Vertex AI and AWS), and the deterministic API ecosystems required to make multi-agent systems scale securely in production.
On the weekends, I run empirical experiments on LLMs and SLMs — adversarial tests, benchmarks, and compliance experiments on open-source models to see where they actually break. I refer to published research papers and develop the code to replicate findings on smaller models, focusing on structured output failures, adversarial guardrails, context position bias, and compliance enforcement. Real benchmarks. Real limitations. No hype.
I also share the architectural reality of this work. I've spoken at the Kong API Summit (2024, 2025) about GenAI integration patterns, API-driven architectures, and what it takes to transition from legacy interfaces to agent-ready Tool-Use standards at scale.