Building intelligence into infrastructure.

I'm Kittipong

I work at the intersection of AI and infrastructure - building intelligent systems that don't just work in a notebook, but hold up in production under real load. From training custom models and designing RAG pipelines to orchestrating containers across cloud providers, I own the full lifecycle from experiment to deployment.

My background spans machine learning research, cloud architecture, and platform engineering. I think in systems - how a model's latency affects user experience, how a poorly designed pipeline turns a 10-minute deploy into a 3-hour firefight, how the right abstraction today saves the team six months of refactoring next year. That systems-level thinking is what I bring to every project.

I've built inference APIs that serve millions of requests, designed CI/CD pipelines that make deployments boring (in the best way), and architected monitoring stacks that catch problems before users do. Whether it's fine-tuning an LLM, setting up a Kubernetes cluster, or writing Terraform modules that the whole team actually wants to use - I care about the craft at every layer.

Right now I'm open to roles and collaborations where AI meets production engineering - especially in teams building products that need both intelligence and reliability. I'm particularly drawn to healthtech, fintech, and developer tooling.