{
  "schemaVersion": "1.0",
  "type": "ProfessionalProfile",
  "name": "Kenneth Teh",
  "url": "https://kennethteh90.github.io/",
  "jobTitle": "Lead Engineer",
  "location": "Singapore",
  "currentOrganization": "Crypto.com",
  "summary": "Product-minded backend engineering leader specialising in fintech platforms, payments, card systems, rewards, onboarding, distributed systems, API design, and evidence-driven AI-assisted delivery.",
  "openTo": [
    "Lead Engineer",
    "Staff Backend Engineer",
    "Fintech Platform Engineer",
    "Payments Engineer"
  ],
  "skills": [
    "Backend engineering",
    "Fintech platforms",
    "Payments",
    "Card systems",
    "Rewards ledgers",
    "Double-entry accounting",
    "Idempotency",
    "Reconciliation",
    "Distributed systems",
    "API design",
    "OpenAPI",
    "Ruby on Rails",
    "Go",
    "PostgreSQL",
    "Observability",
    "CI/CD",
    "AI-assisted development",
    "AI agent orchestration",
    "Engineering leadership",
    "Product engineering"
  ],
  "sameAs": [
    "https://www.linkedin.com/in/kennethtehwj/",
    "https://github.com/kennethteh90"
  ],
  "evidence": [
    {
      "name": "Eligibility Lab",
      "url": "https://kennethteh90.github.io/demos/eligibility-lab/",
      "demonstrates": [
        "Multi-market policy engines",
        "Decision tables",
        "Reason codes",
        "Policy versioning",
        "Next-best actions"
      ]
    },
    {
      "name": "Rewards Ledger",
      "url": "https://kennethteh90.github.io/demos/rewards-ledger/",
      "demonstrates": [
        "Double-entry ledgers",
        "Persistent IndexedDB",
        "Idempotency",
        "Retries",
        "Refunds",
        "Reversals",
        "Reconciliation"
      ]
    },
    {
      "name": "AI Delivery Simulator",
      "url": "https://kennethteh90.github.io/demos/ai-assisted-delivery/",
      "demonstrates": [
        "Product discovery",
        "API contracts",
        "Repository discovery",
        "Parallel AI agents",
        "Adversarial code review",
        "Human approval",
        "Iteration"
      ]
    }
  ]
}