Available for software engineering roles - backend systems, production reliability, cloud deployment, and AI-assisted workflows.
Full-Stack & AI Engineer · Sydney, Australia
Full-stack systems and AI engineer building practical automation, reliable software, and local-first tools.
The live site is my public evidence layer. Localhost is where small utilities, local models, and infrastructure experiments begin.
Two layers, one engineering practice
Public proof on the live site. Private experiments on localhost. Useful patterns move between both.
Public evidence
Repos, case studies, audits
Private engineering
Local AI, scripts, infrastructure
Production work
Recovery, performance, delivery
About
I am a Sydney-based full-stack systems and AI engineer. I work across production recovery, backend and frontend delivery, technical SEO, workflow automation, and local-first AI.
My production work includes ransomware recovery, marketplace engineering, performance work that reduced load time from 25 seconds to 3 seconds, and CI/CD and deployment workflows.
Away from the public site, I maintain a private engineering layer: local models, small Python utilities, Tailscale and SSH paths, and localhost experiments that remove friction from my own work.
The useful parts become public proof through repositories, case studies, audits, and project notes. Prototypes stay labelled as prototypes; production evidence stays tied to work I can support.
Start with the friction. Build the smallest useful system. Test the boundary, document what worked, and keep the evidence close to the code. I use AI for retrieval, drafting, and review, while consequential decisions stay human-owned.
Work history
The story is not just titles. It is recovery, performance, public-facing audits, access boundaries, and delivery under constraints.
• Support small-business client work across custom software, technical SEO, performance, integrations, and deployment troubleshooting.
• Produced a public-facing website audit covering page structure, redirects, metadata, schema, indexing, tracking, and performance checks.
• Converted findings into a practical implementation checklist for developer handoff and client review.
• Help scope work, estimate effort, and keep responsibilities clear across client, founder, and developer coordination.
• Recovered a production system from ransomware within three weeks of starting the engagement, restoring 100% of the data with zero loss and reducing page load time from 25 seconds to 3 seconds over 30 hours.
• Built a shift-booking automation bot and a three-sided Flutter marketplace for service providers, requesters, and administrators.
• Established CI/CD pipelines, GitHub Actions workflows, and production deployment practices for a greenfield stack.
• Improved MERN application frontend performance by 33% across a production application serving 200+ active users.
• Remediated 15+ OWASP Top 10 web application security vulnerabilities before production release.
• Built internal tooling with React, Node.js, Express, and MongoDB.
Next conversation
Open to software engineering roles across full-stack systems, platform and reliability work, workflow automation, and applied AI. I value teams where I can keep learning while contributing to real systems and clear delivery outcomes.
Also open to freelance or contract work across full-stack builds, practical automation, technical SEO, and cloud delivery.
Selected work
Production recovery, responsible AI boundaries, and developer tooling. Each is labelled by what it is, what I owned, and what the evidence supports.
Production & Infrastructure
NDA-safe ransomware recovery case study covering data restoration, infrastructure hardening, CI/CD setup, and performance optimization for a service marketplace.
Role: Incident recovery lead, Infrastructure and deployment owner
Responsible AI / Firebase MVP
Firebase-backed responsible-AI medication support MVP helping seniors respond to event-based reminders while caregivers see missed-dose, refusal, snooze, and help-request visibility.
Role: MVP product engineer, Responsible-AI workflow designer
AI Developer Tooling
Open-source AI code review CLI that runs pre-commit checks using specialized review agents for security, architecture, and quality feedback.
Role: Open-source tool author, CLI workflow designer
One evidence system for public repositories, project-mapped skills, case-study context, and the small tools I use in daily work.
How it works: Skills are evidence filters, not self-rated badges. Select one or more to see the repositories where they appear, then open a project for its implementation notes and status.
Project mapping
Choose a technology to see the public repositories where it appears in the code or project evidence.
Public proof
Generated from public, original repositories at build time.
Offline-first BackPocket OS pivot for operator-owned AI workflows, with local data ownership, approval gates, and small-business admin automation.
Personal infrastructure
Small tools, daily use. Most start as a weekend build sprint: find one repeated annoyance, make the smallest reliable fix, and keep it close to the workflow it supports.
Small tool, daily use
A few lines of Python turn a repeated headphone adjustment into a direct -1 / +1 command.
How it works
The script stays deliberately small because the repeated action did not need another full application.
Chat as the interface
A Telegram bot exposes the command through a familiar chat window instead of adding another dashboard.
How it works
The bot translates a small command into the local action and keeps the interface lightweight.
Personal infrastructure
Termux gives me the remote terminal, while SSH reaches my main laptop through its private Tailscale network.
How it works
Termux → SSH over Tailscale → main laptop terminal → local Python utility.
Small tool, daily use
A Flutter app that uses on-device ML to process screenshots for text extraction or UI element detection.
How it works
Built to quickly extract information from screenshots without sending data to the cloud, keeping processing local and private.
Small tool, daily use
A simple script that checks stock prices and sends alerts when thresholds are crossed.
How it works
Runs periodically to monitor watchlist and sends SMS notifications via Twilio when price moves beyond set limits.
Project management tool
A lightweight kanban board for personal task management with JWT auth and Docker containerization.
How it works
Provides a simple interface for tracking tasks and projects, used for daily workflow organization.
Learning experiment
A small project to practice Retrieval-Augmented Generation techniques with local vector storage.
How it works
Experimented with chunking, embedding, and retrieval to build a context-aware Q&A system over personal notes.
Experimental sandbox
A temporary repo for testing new ideas, configurations, or code snippets before integrating elsewhere.
How it works
Used as a safe space to try out new libraries, frameworks, or architectural patterns without affecting main projects.