I am an AI engineer with production experience building agent-based architectures, workflow automation, and privacy-focused governance layers for AI systems. I’m completing a Bachelor of Information Technology at RMIT with a minor in AI and Machine Learning, and I’ve built real-world AI applications including ATB (local-first audit trails), Veritas (execution integrity runtime), and Chaser (evidence-first provenance). I’m ISC2 certified in cybersecurity and focused on secure, auditable AI design. I’m seeking remote, project-based opportunities to design, develop, and deploy AI agents, predictive models, and automation workflows for business clients. I enjoy turning complex AI and data engineering challenges into reliable, production-ready solutions. My work blends backend services, data pipelines, and governance layers to ensure deterministic, auditable AI behavior while keeping privacy and compliance at the forefront.…

Patrick Guest

I am an AI engineer with production experience building agent-based architectures, workflow automation, and privacy-focused governance layers for AI systems. I’m completing a Bachelor of Information Technology at RMIT with a minor in AI and Machine Learning, and I’ve built real-world AI applications including ATB (local-first audit trails), Veritas (execution integrity runtime), and Chaser (evidence-first provenance). I’m ISC2 certified in cybersecurity and focused on secure, auditable AI design. I’m seeking remote, project-based opportunities to design, develop, and deploy AI agents, predictive models, and automation workflows for business clients. I enjoy turning complex AI and data engineering challenges into reliable, production-ready solutions. My work blends backend services, data pipelines, and governance layers to ensure deterministic, auditable AI behavior while keeping privacy and compliance at the forefront.…

Available to hire

I am an AI engineer with production experience building agent-based architectures, workflow automation, and privacy-focused governance layers for AI systems. I’m completing a Bachelor of Information Technology at RMIT with a minor in AI and Machine Learning, and I’ve built real-world AI applications including ATB (local-first audit trails), Veritas (execution integrity runtime), and Chaser (evidence-first provenance). I’m ISC2 certified in cybersecurity and focused on secure, auditable AI design. I’m seeking remote, project-based opportunities to design, develop, and deploy AI agents, predictive models, and automation workflows for business clients.

I enjoy turning complex AI and data engineering challenges into reliable, production-ready solutions. My work blends backend services, data pipelines, and governance layers to ensure deterministic, auditable AI behavior while keeping privacy and compliance at the forefront.

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Skills

Experience Level

Python
Expert
Data Visualization
Expert
TypeScript
Expert
Data Science
Expert
Docker
Expert
PostgreSQL
Expert
SQL
Expert
AWS
Intermediate
GraphQL
Intermediate
Kubernetes
Intermediate
React Native
Intermediate
API
Intermediate
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Language

English
Fluent

Work Experience

Technology Logistics Analyst at Tennis Australia
November 1, 2025 - February 1, 2026
Supported enterprise technology operations across Melbourne Park for Australian Open 2026 serving over 2,000 staff and officials. Resolved technical support requests via Jira with same-day resolution targets, collaborating with cybersecurity and data analytics teams. Gained exposure to enterprise security infrastructure and incident response procedures, including phishing detection and threat escalation.
Shopify Store Manager and Operations Consultant at Unknown Fear
January 1, 2025 - Present
Managed the Shopify backend as primary operator for a Melbourne streetwear brand, covering product uploads, collections, and store maintenance. Prepared and edited product imagery and brand assets to keep the store ready ahead of drops. Coordinated directly with the founder on schedules and upcoming releases, maintaining clear async communication. Trained and transitioned operational responsibilities back to the founder when the engagement concluded.
Data Coordinator at Liberal Party of Australia (Kooyong Campaign)
January 1, 2025 - May 1, 2025
Automated CRM workflows managing over 10,000 contact records using Zapier, Google Apps Script, and Jotform. Reduced manual data operations by approximately 60 percent through validation systems and workflow automation. Built real-time dashboards tracking engagement and conversion metrics for campaign leads. Trained approximately 30 staff on system usage and data handling protocols.
Data Engineering Consultant at Freelance
January 1, 2024 - Present
Built and maintained a Python-based web scraping and data pipeline system processing over 500,000 records using Playwright and GraphQL APIs. Implemented a three-stage ETL workflow with automated validation, achieving a high proportion of clean, analysis-ready records for client reporting and decision-making. Designed checkpoint and error recovery mechanisms so pipelines can run unattended and resume safely after failures. Delivered structured datasets that support market intelligence and operational reporting workflows.

Education

Bachelor of Information Technology (minor in AI and Machine Learning) at RMIT University
February 1, 2025 - December 1, 2027
Bachelor of Agriculture (Agricultural Economics) at University of Melbourne
January 1, 2020 - January 1, 2023

Qualifications

Certified in Cybersecurity (CC)
January 1, 2026 - March 26, 2026
Databricks AI Agent Fundamentals
December 1, 2025 - March 26, 2026

Industry Experience

Software & Internet, Education, Professional Services, Media & Entertainment
    Chaser – Evidence-first agent provenance and governance

    Built Chaser as an evidence-first provenance and governance layer that ingests agent and workflow events, reconstructs deterministic session activity, and produces redacted, integrity-linked artefacts. Implemented a Docker-based stack including backend, frontend, OPA policy engine, Postgres, and OpenTelemetry collector orchestrated via docker compose for local pilots. Added optional shared-secret authentication for governance endpoints configured via environment variables. Created a golden-path demo workflow that exercises the core API, generating cases, sessions, evidence packs, quarantine artefacts, enclave tokens, and controls reports. Defined core outputs such as session replay steps, exposure storylines, evidence packs, enclave workflows, and deterministic controls reports, each backed by evidence identifiers and hashes.

    Veritas – Execution integrity runtime for AI agents

    Designed Veritas as a runtime that compiles agent conversations into deterministic execution graphs, persists versioned run history, and records explicit decision resolutions. Implemented policy gating and replay verification so the same inputs and decision resolutions produce the same execution graph, surfacing mismatches as integrity errors. Built a browser-based control plane using React and TypeScript with dashboards, run inspection, audit search, approvals, exports, and operations. Implemented multi-tenant isolation with organisation-scoped runs, decisions, and audit logs, and an API key system for creating, rotating, and revoking keys. Added durable background workers for webhooks and export jobs backed by database leases to support concurrent workers and safe recovery.

    ATB – Local-first audit trail for AI systems

    Built ATB as a local-first audit trail for privacy-sensitive AI workflows, recording AI events as tamper-evident bundles that can be inspected locally and exported as deterministic evidence. Implemented SHA-256 hash chains over RFC 8785 canonical JSON to detect mutation, reordering, and deletion in recorded traces. Added AES-256-GCM client-side encryption and deterministic export paths for incident review, customer handoff, and internal audit and privacy review workflows. Developed a local viewer and dashboard with timeline, graph, inspector, and privacy reveal audit logging for sensitive data access. Shipped tracing middleware for LangChain in Python and Vercel AI SDK in TypeScript so teams can instrument agents and copilots without relying on hosted observability platforms.​