AI · Data · Software
Turning data into practical solutions.
Final-year IT student building practical systems across AI, data engineering, automation and security. Explore five live projects with source code, engineering decisions and test evidence.
01 / FLAGSHIP PROJECTS
Explainable AI-assisted service desk that classifies support requests, applies transparent priority rules, retrieves troubleshooting guidance and supports a complete technician workflow.
Smart-building pipeline with validation, transformation, dead-letter handling, operational observability and three complementary anomaly-detection methods.
Monitors service health and latency, suppresses noisy one-off failures, creates one incident after three consecutive failures and resolves it automatically after recovery.
Verifies exact document copies with SHA-256 without retaining original file contents, records an audit trail and produces Ed25519-signed JSON/PDF receipts with QR verification.
Explores a curated Australian technology-job dataset and compares a CV with a selected role using transparent technical-skill extraction and coverage—not a hiring probability.
02 / ABOUT
I build practical systems from problem definition through implementation, testing and deployment. My work combines technical depth with requirements, communication and reliable delivery.
Major in Artificial Intelligence
University of Tasmania · Hobart
Final-year studentProject Manager for an auditable AI product-trust demonstration.
Requirements · Testing · Documentation · Client feedback03 / SKILLS
scikit-learn · TF-IDF · Logistic Regression · classification · similarity search · evaluation
Evidence: AI Helpdesk Copilot →MQTT · validation · transformation · dead-letter handling · PostgreSQL · operational analytics
Evidence: Real-Time Pipeline →Python · FastAPI · Pydantic · SQLAlchemy · REST APIs · pytest · GitHub Actions
Evidence: deployed projects →SHA-256 · Ed25519 · Docker · service monitoring · incident automation · audit trails
Evidence: security and monitoring projects →04 / EXPERIENCE
Lead project planning and coordination across requirements, testing, documentation, team responsibilities, client feedback, guidance and final demonstration preparation.
Provide responsive customer service, handle transactions, resolve enquiries and complete operational work accurately in a fast-paced environment.
Processed orders and transactions accurately, coordinated with colleagues and maintained organised work areas during busy service periods.
Supported customers with technology product enquiries, recommendations, payments, returns, complaint resolution and stock-related tasks.
05 / INDUSTRY ENGAGEMENT
Collaborated over three days on a real Tasmanian energy-sector challenge, combining rapid problem-solving, teamwork and AI/cloud concepts.
Attended industry sessions covering AI engineering, GraphRAG, Snowflake, synthetic data, observability, data architecture and agent workflows.
06 / BLOG & CASE STUDIES
How classification, transparent priority rules, retrieval and a complete technician workflow work together in one tested application.
Read case study →From simulated telemetry to validation, transformation, dead-letter handling, anomaly detection and operational observability.
Read case study →Why repeated-failure detection reduces alert noise and creates a deterministic incident and recovery lifecycle.
Read case study →Privacy-aware hashing, deterministic verification, audit evidence and signed receipts with an explicit trust boundary.
Read case study →Curated market analytics and explainable CV-to-role technical-skill coverage without presenting a misleading hiring score.
Read case study →LET’S CONNECT
I’m particularly interested in AI, data, software, testing, cloud and technology delivery roles where I can contribute while continuing to learn.