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Dr. Farrukh Akhtar

Selected work

Projects

15 projects delivered for enterprise and government clients, 2018–2026. Each one lists the challenge, the approach and the outcome.

Showing 15 of 15 projects

  • 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)
  • NSW Government (DCCEEW)Government2026

    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.

    to onboard a new team, guardrails by default
    Minutes
    to onboard a new team, guardrails by default
    TerraformGCP Vertex AIGCP Shared VPCGCP Cloud NATGCP IAM
  • Queensland energy providerEnergy2019

    Smart-meter data and MLOps platform

    Over 1 million smart energy meters generate data and send it every 5 mins interval to Azure IoT hub.

    smart meters
    1M+
    smart meters
    reading interval
    5 min
    reading interval
    Microsoft AzureSQL DWDatabricksCosmosTensorFlow
  • Confidential clientSales2020 Demo

    Voice-enabled CRM (Project Jarvis)

    Salesperson will use mobile app to create the lead through voice commands.

    Azure CognitiveAzure LUISAzure Speech SDK
  • Melbourne AirportAviation2019 Demo

    Touchless user interfaces

    Due to Covid-19 people are scared to use public touch screens/buttons.

    Deep LearningComputer VisionReal Sense Depth CamerasAzure DevOps
  • Confidential clientCross-industry2018 Demo

    MLOps auto-provisioning for data scientists

    The aim of this project is to make it easy for Data Scientists to be able to easily provision all the resources needed to replicate, explore, and potentially build from our project on an inner source version.

    Azure DevOpsAzure Machine Learning