Sydney, Australia

Jayden Lee

Data & AI engineer. Builder of practical software.

Senior Machine Learning & Data Engineer at AMP · Director at Proanalytica

Portrait of Jayden Lee

Who I am

I am a data-focused software engineer with 6+ years of experience turning messy data and complex requirements into reliable systems. I work across machine learning, data engineering, and full-stack software, with a particular interest in large language models and real-time AI.

I am currently a Senior Machine Learning & Data Engineer at AMP, building contact-centre solutions that use real-time transcription and AI to support agents, and fine-tuning language models for financial tasks. I also run Proanalytica, a Sydney-based technology company helping small businesses get more from their data and software.

Something I'm proud of: I worked full-time at Deloitte while studying full-time for my engineering degree. These days AMP is my main focus, and Proanalytica is a side venture I run alongside it.

Experience

Senior Machine Learning & Data Engineer

Feb 2025 — Present
AMP View details Hide details

Lead developer on AMP's contact-centre and Azure redaction platforms, focused on AI infrastructure and use cases.

Senior engineer and lead developer on AMP's AI and data initiatives, working across the contact-centre solution and the Azure platform behind AMP's internal redaction tooling.

  • Lead developer for AMP's contact-centre solution, using real-time transcription and LLMs to support agents, and fine-tuning language models for financial tasks.
  • Lead developer on the internal Azure platform AMP uses for its redaction solution.
  • Managed and advised AI infrastructure across multiple domains and business units, with a specific focus on Azure.
  • Senior engineer leading discussions on AI use cases across the business.

Specialist Lead / Manager, Data & AI

Apr 2023 — Feb 2025
Deloitte View 4 roles Hide roles

Led data and AI programs for state and federal government clients.

Program Lead & Lead Software Engineer

Aug 2024 — Feb 2025
  • Led a team of five engineers in a public-private partnership to architect and build software on Snowflake, migrating the data warehouse from a legacy Oracle database.
  • Enhanced operational efficiency by optimising complex data relationships and developing an API layer for seamless integration.
  • Collaborated with the principal architect to design a scalable data warehouse, driving significant performance improvements.

Lead Software Engineer & Machine Learning Engineer

Apr 2024 — Aug 2024
  • Led a machine learning team in developing a predictive model for a public health service, significantly improving the accuracy of critical resource allocation.
  • Achieved high accuracy with the machine learning model in Spark runtime on Synapse Analytics, securing funding for a major health initiative and helping save Australian lives.
  • Enhanced data quality through advanced data governance and in-depth analytics.
  • Implemented MLOps best practices for efficient model training and deployment.

Technical Lead & Architect

Aug 2023 — Apr 2024
  • Led the development of a workforce modelling tool, improving core architecture and CI/CD processes.
  • Re-architected a large data model and integrated best practices in Kubernetes, Docker, and ArgoCD.
  • Introduced microservices architecture and provided agile coaching for product owners.
  • Introduced security and cloud-based best practices.

Software Engineering Lead

Apr 2023 — Jul 2023
  • Developed an API for a public health service to facilitate patient bookings using .NET/C#.
  • Automated unit testing using TypeScript to meet industry testing standards.
  • Gained deep insight into the state and federal healthcare systems, ensuring maintainability and compliance with industry standards.

Senior Consultant, Data & Analytics

EY Oct 2021 — Apr 2023

Data-focused software engineering for government clients in business intelligence and big data.

Data & Software Engineer / Director

Conducive Technologies Jan 2021 — Oct 2021

Technology team lead: licence-plate recognition tooling, Azure data warehouses, and data visualisation for Transport for NSW.

Information Technology Consultant

Raymond Lee Consulting Nov 2018 — Jan 2021

Level 1–3 support, networking, and data-sharing environments for organisations across Sydney.

Education

Bachelor of Engineering (Honours), Data major

University of Technology Sydney Feb 2019 — Aug 2025

Diploma of Professional Engineering Practice · GPA 6.10/7 (Distinction average)

Selected work

  • NSW Health Ambulance Matrix — led a team to build an ambulance-network prediction model with 78% accuracy, using Spark in Azure Synapse Analytics.
  • APS data ingestion — built a TypeScript and NoSQL pipeline handling 100 GB per day at peak on AWS as part of a large government data transformation.
  • eRFA microservice — architected NSW Health's first microservice architecture, including identity management and ServiceNSW authentication.
  • BloorRails — building a safety inspection platform on Flutter and Node.js APIs hosted in Azure through Proanalytica.

Skills

  • Python
  • TypeScript / JavaScript
  • SQL
  • C#
  • Java
  • Dart / Flutter
  • LLMs & fine-tuning
  • AWS
  • Azure
  • Snowflake (certified)
  • dbt
  • Spark / Synapse
  • Docker
  • Data engineering
  • Machine learning

Company

Proanalytica

Practical AI automation, software, and data solutions for small businesses and field-service teams.

proanalytica.com.au