Singapore based

I build the platforms behind enterprise AI.

Enterprise AI Platform Architect with 15+ years across cloud, security and large-scale data infrastructure. I turn models and agents into governed, reliable services that engineering teams can actually use.

Platform blueprintActive
Governed
AI Platform
Identity & policy Models & agents Cloud & runtime Observability
15+ yearsPlatform engineering leadership
26.8 PBLarge-scale data estate
1,000+ nodesEnterprise platforms operated
3 cloudsAWS, Azure and hybrid patterns
What I do

From model endpoint to enterprise capability.

My work sits at the intersection of architecture and delivery: secure access, agent onboarding, private networking, platform automation, observability and operational ownership.

01 / AI PLATFORM

AI and agent infrastructure

Reusable pathways for model access, agent hosting, onboarding, governance and production operations.

BedrockAgentCoreAI GatewayMLOps
02 / SECURITY

Identity and governed access

Short-lived identity, policy enforcement and secrets patterns designed for regulated enterprise environments.

OAuth 2.0OIDCJWTKeycloak
03 / CLOUD

Hybrid cloud architecture

Private, resilient patterns connecting managed AI services with Kubernetes and on-premises platforms.

AWSAzureOpenShiftKubernetes
04 / PLATFORM

API and gateway engineering

Centralized routing, authentication, quotas and observability for shared enterprise AI services.

KrakenDAPIMPrivateLinkWAF
05 / DELIVERY

Automation and enablement

Configuration-driven onboarding and repeatable delivery that reduces friction for engineering teams.

JenkinsYAMLAWS CLICI/CD
06 / DATA

Data platform scale

Deep operating experience across multi-petabyte Hadoop estates, distributed systems and performance engineering.

ClouderaSparkIcebergHDFS
Selected work

Architecture made operational.

Public-safe examples of the platform problems I solve. Details are intentionally abstracted from confidential environments.

01

Governed enterprise AI platform

Connected model access, gateway services, identity, private networking and workload onboarding into a coherent platform capability.

Challenge

Move from isolated AI experiments to secure, shared consumption.

Contribution

Architecture reviews, platform controls, operating model and delivery patterns.

02

Agent identity and secure access

Designed machine-to-machine authentication using short-lived tokens, audience validation and centralized gateway policy.

Challenge

Replace long-lived credentials without burdening application teams.

Contribution

OAuth/OIDC design, JWT validation, credential handling and onboarding flow.

03

Hybrid AWS and Azure patterns

Evaluated cloud-native and private runtime patterns across model gateways, Kubernetes, networking, observability and governance.

Challenge

Balance managed AI velocity with enterprise security and infrastructure constraints.

Contribution

Trade-off analysis spanning Bedrock, AgentCore, Azure AI, APIM and OpenShift.

04

Data platforms at extreme scale

Led engineering and reliability work across environments exceeding 1,000 nodes, including a 26.8 PB estate and an HDFS environment with roughly 701 million blocks.

Challenge

Maintain reliability and developer productivity at multi-petabyte scale.

Contribution

Performance engineering, upgrades, automation and operational self-service.

Live project

EdgePilot

A Cloudflare-native architecture advisor that turns workload requirements into a structured solution starting point. It runs on Workers, Workers AI and AI Gateway, with policy-aware caching for sensitive workloads.

Cloudflare WorkersWorkers AIAI GatewayArchitecture discovery
Customer workload discovery
Cloudflare Worker + policy
AI Gateway + Workers AI
Structured architecture advice
Career

Built through scale, security and delivery.

Experience across banking, enterprise consulting, healthcare technology and global-scale data infrastructure.

Assistant Vice President

OCBC Bank, Singapore

Enterprise AI platform engineering, cloud and security architecture, governed agent access and platform automation.

Senior Solutions Consultant

Cloudera, APAC

Customer consulting, deployment guidance, performance engineering and complex platform resolution.

Data Engineering Lead

UnitedHealth Group / Optum

Engineering and self-service automation for a roughly 1,000-node, 26.8 PB enterprise platform.

Technical Lead / Engineer

TCS and One97

Hadoop platforms, data warehousing, production engineering and large-scale cluster delivery.

Open to conversations

Building a secure AI platform, agent ecosystem or hybrid cloud capability?

I’m interested in senior AI platform engineering, cloud architecture and solutions architecture opportunities in Singapore and across APAC.