mike@portfolio
mike@dev:~$ whoami

Mike Camara

Architecting secure, production-grade AI systems for the enterprise.

RAG ArchitectureAI GovernanceAzure OpenAILLM SecurityPlatform Engineering
connect
available for enterprise engagements โ€” Brisbane, AU
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Enterprise AI Capabilities

14+ years in software engineering. Designing secure, production-grade LLM systems that align with business metrics, compliance constraints, and enterprise security standards.

Enterprise LLM Systems

  • Architected production RAG pipelines with vector embeddings reducing hallucination by 40%
  • Designed prompt versioning and evaluation frameworks for output consistency
  • Built multi-agent orchestration systems for complex enterprise workflows
  • Implemented token cost monitoring reducing LLM expenditure by 35%

AI Platform Engineering

  • Built internal AI automation platforms integrating Jira, GitHub, and Slack
  • Designed AI copilots for engineering productivity (standup automation, code review)
  • Created executive dashboards with AI-powered summarisation and DORA metrics
  • Automated sprint reporting reducing manual effort by ~35%

Cloud & Infrastructure

  • Azure OpenAI and AWS Bedrock secure deployment architecture
  • IAM governance, VPC networking, and private endpoint configuration
  • CI/CD pipelines with automated security scanning and zero-downtime deploys
  • Infrastructure as Code with Pulumi, Terraform, and GitHub Actions

AI Governance & Security

  • PII redaction and data privacy controls for regulated environments
  • AI explainability and responsible AI framework implementation
  • Audit logging, model approval workflows, and bias detection
  • Penetration testing mitigation and compliance integration (OneTrust)

Architecture Leadership

  • Led team growth from 4 to 15+ engineers across in-house and offshore
  • Architected monorepo-based platform serving multi-region deployments
  • Drove DevSecOps transformation with trunk-based development and feature-flag governance
  • Managed 500+ production releases with automated quality gates

Observability & Quality

  • LLM output monitoring, drift detection, and regression testing pipelines
  • Full-stack observability (Sentry, New Relic, custom AI logging)
  • Automated performance profiling and cost tracking dashboards
  • E2E testing automation across web, mobile, and AI systems

production stack

Azure OpenAIAWS BedrockLangChainLlamaIndexpgvectorPineconePythonTypeScriptReactReact NativeNext.jsNode.jsDockerTerraformPulumiGitHub ActionsSentryNew RelicAuth0LaunchDarkly
14+

Years Engineering

500+

Production Releases

15+

Engineers Mentored

35%

Effort Reduced via AI

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Professional Experience

AI Engineer / Tech Lead

Flight Centre Travel Group

2024 โ€” PresentEnterprise
  • Architected and deployed secure LLM-based automation platform integrating Jira, GitHub, and Slack, reducing manual sprint reporting effort by ~35%
  • Designed production-ready RAG pipelines using vector embeddings and structured retrieval to ensure contextual accuracy while minimising hallucination risk
  • Implemented prompt versioning, evaluation workflows, and cost monitoring to control token expenditure and maintain output consistency
  • Built governance-aware AI workflows aligned with internal compliance and data privacy standards
  • Integrated DORA metrics automation into executive reporting, improving engineering visibility and decision-making speed

Mobile Tech Lead / Platform Architect

Flight Centre Travel Group

2021 โ€” 2024Enterprise
  • Designed and governed monorepo-based mobile platform architecture serving multi-region deployments across 4 production apps
  • Led DevSecOps transformation introducing trunk-based development, feature-flag governance, automated security scanning, and zero-downtime deployment pipelines
  • Grew engineering team from 4 to 15+ developers, establishing hiring processes and mentorship programs
  • Defined secure authentication and compliance integration patterns (Auth0, OneTrust, LaunchDarkly) across enterprise applications
  • Managed 500+ approved production releases with automated quality gates and performance regression detection

Senior Software Engineer

VBreathe (IoT / HealthTech)

2020 โ€” 2021HealthTech
  • Developed IoT web application for portable indoor-air environmental detoxification with TypeScript, Angular, and AWS
  • Designed cloud infrastructure with Pulumi and implemented end-to-end testing with Cypress and Appium
  • Built real-time sensor data pipelines and dashboard monitoring systems

Full-Stack Engineer / Founder

7x.network

2012 โ€” PresentFounder
  • Founded boutique mobile development studio shipping 10+ apps across iOS and Android
  • Designed AI-powered mobile applications including Daiet AI with personalised meal planning
  • End-to-end product lifecycle from architecture to App Store submission and user analytics
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Academic Foundation

MSE

Master of Software Engineering

University of Tartu / TalTech

Estonia ยท 2023

BSc

Bachelor of Computer Science

Murdoch University

Australia ยท 2018

BSc

Bachelor of Communication

PUCRS

Brazil ยท 2014

AD

Associate Degree in Mobile Apps Development

TAFE Australia

Australia ยท 2016

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What I Engineer

Enterprise AI systems that are secure by design, observable by default, and built for regulated industries.

RAG Pipeline Architecture

Vector-based retrieval systems with structured chunking, contextual re-ranking, and hallucination guardrails. Built for accuracy in high-stakes environments.

pgvectorPineconeLlamaIndexEmbedding Models

Secure LLM Deployment

Private endpoint configurations, prompt injection defence, data redaction layers, and encrypted inference pipelines within enterprise VPCs.

Azure OpenAIAWS BedrockIAMPrivate Endpoints

AI Observability & Cost Control

Token-level usage tracking, LLM output quality scoring, prompt regression detection, and real-time cost dashboards for executive visibility.

LangSmithSentryCustom DashboardsAlerting

Internal AI Copilots

AI-powered productivity tools for engineering teams โ€” automated standups, intelligent code review, Jira ticket triage, and sprint summarisation.

Multi-AgentSlack BotsGitHub ActionsWorkflow Automation
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Product Studio

Founder of 7x.network โ€” shipping AI-powered mobile products and full-stack solutions from concept to scale

visit_7x.network
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Case Study Vault

Daiet AI thumbnail

Daiet AI

Leverage the power of AI to create personalised meal programs tailored to you.

Download on the App StoreGet it on Google Play
4ever Fitness thumbnail

4ever Fitness

A comprehensive platform for personal trainers to create custom training programs and build thriving dojos for their students.

Download on the App StoreGet it on Google Play
4get Countdown thumbnail

4get Countdown

Never miss an important event again. 4get helps you track upcoming events with beautiful, customisable countdowns.

Download on the App StoreGet it on Google Play
7 Flashcards thumbnail

7 Flashcards

Accelerate your learning with our intuitive flash-card system. Perfect for students, language learners, and knowledge enthusiasts.

Download on the App StoreGet it on Google Play
Scale Log thumbnail

Scale Log

Track your weight, set goals, and calculate calories with our comprehensive health-monitoring tool.

Download on the App StoreGet it on Google Play
Dojo App thumbnail

Dojo App

Manage your martial-arts or fitness dojo with ease. Create timetables, track attendance, and organise class sequences.

Download on the App StoreGet it on Google Play
numnum thumbnail

numnum

Never wonder what to cook again! Add your family's favorite meals and let numnum pick for you.

Download on the App StoreGet it on Google Play
Autonomous car thumbnail

Autonomous Car Deep Learning Model

Scaled autonomous vehicle with a Raspberry Pi 4, frontal camera and a sensor hat.

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VBreathe Tasman thumbnail

VBreathe Tasman IoT Web App

IoT web app for a portable indoor-air environmental detoxification device with TypeScript, Angular, Ionic, Pulumi, AWS, Cypress, and Appium.

view_project
Staffer app thumbnail

Staffer Workforce Management

Full-stack workforce management solution for employee profiling, automated rates calculation, credential management, and identity verification.

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Core Disciplines

Enterprise LLM Architecture

Production-grade RAG pipelines, prompt evaluation frameworks, and multi-agent orchestration designed for regulated environments.

AI Governance & Security

PII redaction, data privacy controls, audit logging, and compliance-aware AI workflows for banking and government.

Cloud AI Infrastructure

Secure deployments on Azure OpenAI and AWS Bedrock with IAM governance, cost monitoring, and observability pipelines.

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Let's Build Together

Looking for an AI Platform Engineer or exploring enterprise AI opportunities? Let's connect.