Engineering AI Systems with Certainty & Purpose

Who Am I & What Drives My Work

I am a software and ML developer building at the intersection of machine learning systems, prompt routing, and production software architecture. Rather than relying on black-box wrappers, my focus is on understanding how models behave under the hood and constructing systems that remain reliable under stress.

My central engineering thesis revolves around a simple question: Can we trust what AI does?

Answering that question requires disciplined model evaluation (EARLY), resilient task routing across diverse LLMs (Router), and clean product engineering (Gesenu). I prioritize empirical benchmarks over raw intuition, ensuring every system trade-off—whether latency, cost, or accuracy—is measured and intentional.