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Dr. Farrukh Akhtar
All projects
Education VictoriaEducation2024Australia

Generative AI information retrieval for educators

Developed an AI-powered information retrieval system for Education Victoria using Generative AI, OpenAI, and the LangChain framework.

Role: Solutions Architect - Data and AI

The approach

Developed an AI-powered information retrieval system for Education Victoria using Generative AI, OpenAI, and the LangChain framework. The system integrates with Azure, utilizing Function Apps for seamless data processing and Retrieval-Augmented Generation (RAG) to enhance response accuracy. It gathers information from multiple sources, allowing users to retrieve relevant insights through natural language prompts. LangChain optimizes AI interactions with structured and unstructured data, improving retrieval efficiency. This solution empowers educators and administrators with quick, precise insights, enhancing decision-making and operational effectiveness.

  • 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
  • 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