About Me
I’m an AI Platform Engineer at GovTech Singapore. I work with users, customer teams and product stakeholders to turn ambiguous problems into full-stack AI applications and shared platforms, from the first prototype to secure production on AWS and Azure.
My role changes with what each project needs: technical owner for a multi-tenant MLOps and AI API platform, core full-stack engineer for a whole-of-government AI platform, and engineering delivery lead for a self-hosted GenAI platform. That means shaping architecture, building React interfaces and Go services, and aligning people and priorities across enterprise and restricted environments.
I care about making AI useful beyond a demo. I turn lessons from working with teams into reusable RAG reference implementations and OpenAI-compatible APIs, so they have a practical starting point. Having led the self-hosted platform’s migration into a highly restricted environment, I now coordinate newer-model onboarding, inference scaling, routing and model lifecycle management.
My data engineering roots keep me close to how systems run: their reliability, usage, cost and security. I also co-founded AI Wednesday and have run applied AI workshops to help teams learn from one another. This site is where I share what I build and learn along the way.
What I work with
The tools behind the platforms I build, grouped by the problems they solve.
- Application Engineering
Full-stack applications and APIs shaped around user needs.
Go · Python · TypeScript · React · REST APIs · PostgreSQL · Redis
- AI/ML Platforms
Reusable AI workflows, model serving and governed ML lifecycles.
LLMs · RAG · vLLM · LiteLLM · SageMaker · MLflow · Hugging Face · PySpark
- Cloud & Infrastructure
Repeatable delivery across cloud and restricted environments.
AWS · Azure · Kubernetes · ECS · Docker · Terraform · CI/CD
- Observability & Platform Security
Reliable services, visible usage and controlled access.
OpenTelemetry · Prometheus · Grafana · OIDC/OAuth · RBAC · Secrets management