I’m a software engineer focused on mobile platform architecture and real-world AI systems. My background is in iOS development and performance engineering, with experience building backend services and data pipelines that support production applications.

I’m particularly interested in reducing platform fragmentation using Kotlin Multiplatform and designing systems where shared logic, data flow, and UX remain consistent across platforms.

Recently I’ve been exploring applied AI building retrieval-augmented agents and research workflows using embeddings, vector databases, and LLM tooling. My focus is not demos, but reliability: observability, correctness, and maintainability in production environments.

This blog documents lessons at the intersection of mobile engineering, data, and AI architecture decisions, trade-offs, and what actually works in practice.