AI and agent infrastructure
Reusable pathways for model access, agent hosting, onboarding, governance and production operations.
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.
My work sits at the intersection of architecture and delivery: secure access, agent onboarding, private networking, platform automation, observability and operational ownership.
Reusable pathways for model access, agent hosting, onboarding, governance and production operations.
Short-lived identity, policy enforcement and secrets patterns designed for regulated enterprise environments.
Private, resilient patterns connecting managed AI services with Kubernetes and on-premises platforms.
Centralized routing, authentication, quotas and observability for shared enterprise AI services.
Configuration-driven onboarding and repeatable delivery that reduces friction for engineering teams.
Deep operating experience across multi-petabyte Hadoop estates, distributed systems and performance engineering.
Public-safe examples of the platform problems I solve. Details are intentionally abstracted from confidential environments.
Connected model access, gateway services, identity, private networking and workload onboarding into a coherent platform capability.
Move from isolated AI experiments to secure, shared consumption.
Architecture reviews, platform controls, operating model and delivery patterns.
Designed machine-to-machine authentication using short-lived tokens, audience validation and centralized gateway policy.
Replace long-lived credentials without burdening application teams.
OAuth/OIDC design, JWT validation, credential handling and onboarding flow.
Evaluated cloud-native and private runtime patterns across model gateways, Kubernetes, networking, observability and governance.
Balance managed AI velocity with enterprise security and infrastructure constraints.
Trade-off analysis spanning Bedrock, AgentCore, Azure AI, APIM and OpenShift.
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.
Maintain reliability and developer productivity at multi-petabyte scale.
Performance engineering, upgrades, automation and operational self-service.
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.
Experience across banking, enterprise consulting, healthcare technology and global-scale data infrastructure.
Enterprise AI platform engineering, cloud and security architecture, governed agent access and platform automation.
Customer consulting, deployment guidance, performance engineering and complex platform resolution.
Engineering and self-service automation for a roughly 1,000-node, 26.8 PB enterprise platform.
Hadoop platforms, data warehousing, production engineering and large-scale cluster delivery.
I’m interested in senior AI platform engineering, cloud architecture and solutions architecture opportunities in Singapore and across APAC.