I’m a software engineer building at the intersection of software architecture and AI. My work focuses on creating practical systems that are scalable, maintainable, and useful in production.
With experience across backend engineering, cloud-native platforms, and modern frontend delivery, I’ve worked on distributed systems and application architecture while increasingly exploring AI-native products, LLM-based workflows, and agentic systems.
Building AI-native software that is practical, production-ready, and useful to teams.
Designing practical applications around LLMs, agents, and intelligent workflows.
Building automation and workflows that improve delivery and engineering efficiency.
Creating scalable services and reliable infrastructure for modern products.
I write about practical engineering lessons, AI experiments, and software architecture choices—kept concise and useful.
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