Clearance
Azure-native AI platform that automates compliance assessments for regulated SMEs.
Azure Functions FastAPI Cosmos DB Azure AI Document Intelligence
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Azure AI & Cloud Engineer · Adelaide, Australia
I build AI and cloud systems for high-stakes, regulated problems.
Master of Computing & Innovation at the University of Adelaide. Microsoft Azure certified. I design and ship production-grade Azure and AI systems, from agentic document workflows to multi-tenant platforms with real users.
Azure AZ-900University of Adelaide
Selected Work
A few projects I've worked on recently.
RFP Auto-Responder
RAG system that drafts responses to RFP documents from a private knowledge base.
Python ChromaDB Google Gemini Streamlit
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Envents
Multi-tenant event-management platform serving real organisations and users.
Django Multi-tenant RBAC AWS S3 / CDN Payments
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Deshgori
Free, open-source, Bangla-first PWA that helps Bangladeshi migrant workers, students, and tourists verify official information and avoid recruitment fraud.
Open Source PWA Digital Public Good Next.js
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More work
Research
Academic contributions to the field.
MITRE ATT&CK Coverage Asymmetry
Reproduction and extension of a USENIX Security 2024 paper — adding Microsoft Sentinel analysis to reveal telemetry-driven coverage gaps.
Security Research MITRE ATT&CK Microsoft Sentinel Python
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About
I'm Junaid, an AI and cloud engineer based in Adelaide, finishing a Master of Computing & Innovation at the University of Adelaide. I'm Microsoft Azure certified (AZ-900) and I spend most of my time building production-grade systems on Azure: agentic AI workflows, retrieval pipelines over messy documents, and multi-tenant platforms that real people actually use. I like problems where correctness matters, regulated, high-stakes domains where "roughly right" isn't good enough.
Master of Computing & Innovation, University of Adelaide. Graduating December 2026.
JA
Skills & Stack
Cloud — Azure
FunctionsCosmos DBAI Document IntelligenceAzure OpenAI / AI FoundryApp ServiceMicrosoft Sentinel
Cloud — AWS
S3CloudFront/CDN
AI / ML
Retrieval-Augmented GenerationAgentic WorkflowsGPT-4oGeminiEmbeddings & Vector Search (ChromaDB)
Security & Threat Detection
MITRE ATT&CK FrameworkSIEM AnalysisDetection EngineeringSecurity Research
Backend
PythonFastAPIDjangoREST APIs
Foundations & Practice
CI/CDInfrastructure-as-CodeMulti-tenancyRBAC
Certifications
Microsoft Azure Fundamentals (AZ-900)
Areas of active focus: MLOps, Infrastructure-as-Code
Writing
Thoughts on cloud, AI, and engineering.
What MITRE ATT&CK coverage actually measures (and what it misses)
Extending a USENIX Security paper revealed that ATT&CK coverage is partly an artefact of where your telemetry lives — not just detection effort.
Coming soonDesigning an agentic compliance workflow on Azure
How I structured an AI-driven document assessment pipeline for regulated industries.
Coming soonLet's talk.
I'm always open to discussing cloud engineering, AI systems, or interesting problems.
Open to graduate AI and cloud engineering roles in Australia.