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Dr. Farrukh Akhtar
All projects
NSW Government (DCCEEW)Government2026Australia

Secure, governed Google Cloud AI sandbox

Built a governed, security-hardened Google Cloud environment for AI/Vertex AI PoCs, fully as Terraform IaC — Shared VPC with default-deny egress + per-PoC isolation, least-privilege IAM (service-account impersonation), org-policy guardrails, IAP bastion, audit logging and cost budgets, with a reusable project factory to onboard new teams in minutes under security guardrails by default.

Role: AI Architect

to onboard a new team, guardrails by default
Minutes
to onboard a new team, guardrails by default

The approach

Built a governed, security-hardened Google Cloud environment for AI/Vertex AI PoCs, fully as Terraform IaC — Shared VPC with default-deny egress + per-PoC isolation, least-privilege IAM (service-account impersonation), org-policy guardrails, IAP bastion, audit logging and cost budgets, with a reusable project factory to onboard new teams in minutes under security guardrails by default.

  • BHPMining2025

    Agentic AI automation for hire-to-retire HR processes

    Designed and delivered an Agentic AI automation framework in ServiceNow to streamline end-to-end HR request processing.

    manual steps eliminated
    17
    manual steps eliminated
    HR workload removed
    40 FTE
    HR workload removed
    DatabricksServiceNowOpenAI (BYOM)Agentic AIAzure Foundry
  • Aware SuperSuperannuation2026

    AI response evaluation framework for multi-agent RAG

    Designed an evaluation framework to systematically measure the accuracy, relevance, groundedness, and safety of AI responses generated by Aware Super's multi-agent RAG system over Azure AI Search, benchmarked against a curated golden dataset.

    quality gates evaluated: routing, retrieval, response
    3
    quality gates evaluated: routing, retrieval, response
    Azure FoundryMicrosoft Agentic FrameworkMicrosoft Evaluation
  • Confidential clientMining2026

    Independent audit of an enterprise Databricks Lakehouse

    Led a 10-day independent audit of a global mining company's enterprise Databricks Lakehouse platform across three pillars (Ingestion, Data Governance, Technical Governance), delivering evidence-backed findings from production environment analysis of 16,000+ tables across two AWS regions and three stakeholder workshops.

    tables analysed across two AWS regions
    16,000+
    tables analysed across two AWS regions
    remediation roadmap delivered
    21-point
    remediation roadmap delivered
    DatabricksUnity CatalogDelta LakeDelta SharingAWS (multi-region)