I'm a software engineer with a strong background in backend platforms, distributed systems, and cloud infrastructure.
After 15+ years in engineering, including several years as CTO of a profitable SaaS company, I'm now focused on building real-world, production-ready AI features and systems. My work centers around retrieval-augmented generation (RAG), LLM-driven product capabilities, and the backend components that make these systems reliable, observable, and scalable.
I'm especially interested in the engineering side of applied AI:
- designing RAG architectures and ingestion pipelines
- building LLM-based services and multistep workflows
- integrating vector databases and hybrid retrieval
- establishing evaluation, monitoring, and safety mechanisms
- connecting AI systems with existing backend platforms
My goal is to bridge modern AI with solid engineering, delivering AI features that are not just impressive in demos, but robust, predictable, and valuable in real products.