I build AI platforms and MLOps systems from idea to production, especially in enterprise and restricted environments where integration, security, and operational readiness decide whether something gets adopted. I like working across the stack and across teams, from architecture discussions to hands on engineering.

At GovTech Singapore, I led the architecture and rollout of a multi tenant, multi cloud MLOps platform on AWS and Azure used by growing 450~ users across 90~ teams, supporting governed model development and deployment in isolated environments and LLM workflows like RAG prototyping. I also built an AI access platform on Kubernetes, owning the frontend, Go based orchestration and API services, and governance grade observability. I built and scaled an enterprise LLM gateway routing millions of monthly requests across multiple providers and self hosted inference with vLLM to balance cost, latency, and vendor dependency.

I enjoy problem solving and building useful things that work within real constraints. I like pressure testing new techniques, keeping what works, and turning it into patterns that others can reuse. I co founded AI Wednesday with a team and previously ran technical workshops on applied AI adoption, and this site is where I share projects I build in my free time.