Justin Ty
@justinty
Full‑stack software engineer specializing in cloud services, ML productionisation.
What I'm looking for
I am a full‑stack software engineer with over 10 years of experience building cloud‑native services, resilient infrastructure, and production ML pipelines. I have led platform teams, designed scalable event‑driven backends, and operationalised models and data platforms handling petabytes of data.
My work spans backend, frontend, DevOps and data engineering — from Java/Spring services and React admin consoles to Terraform, Kubernetes, and CI/CD. I prioritize reliability, observability and automation, and have driven measurable impact through platform improvements, privacy compliance, and AI/LLM integrations.
Experience
Work history, roles, and key accomplishments
Designed and implemented scalable Java Spring event-driven backend services and vector search solutions (FAISS) to serve real-time and batch ML-driven personalization features; led privacy/consent compliance and standardized third-party webhook ingestion.
Led the core data platform team, building a cloud-first data platform ingesting 5PB+ of data, migrating ETL to Kubernetes and implementing CI/CD and reproducible Nix environments to improve scalability and onboarding.
Developed e‑commerce data solutions and attribution models to drive incremental advertiser value, implemented an identity graph on Amazon Neptune, and built orchestration and monitoring for data enrichment pipelines.
Automated reporting workflows with Python and developed ensemble ML models and geospatial analyses to validate and prioritise control variables for the national TV ratings panel.
Education
Degrees, certifications, and relevant coursework
University of New South Wales
Master of Information Technology, Information Technology
Master of Information Technology focused on advanced topics such as machine learning, security engineering, and distributed systems.
Macquarie University
Bachelor of Science, Statistics and Software Technology
Bachelor of Science in Statistics and Software Technology with coursework in machine learning, algorithms, and applied statistics.
Availability
Location
Authorized to work in
Job categories
Skills
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