// about
No corporate framing. Just a builder testing things and publishing results honestly.
By day, I am a Strategic AI Advisor and Enterprise Architect. I solve the problem of integrating modern AI into rigid, legacy core systems in highly regulated industries. I design cloud-native solutions, API ecosystems, and the infrastructure required to make these models 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 and what it takes to build API-driven, agentic systems at scale.