Summary

Liam Henderson

Machine Learning Engineer

Contacts

Melbourne, VIC, Australia
[email protected]
+61 4 1234 5678
https://linkedin.com/in/liamhenderson

Profile

Machine Learning Engineer with 4+ years of experience designing and deploying production ML systems. Skilled in building scalable data pipelines, training deep learning models, and delivering AI-powered solutions that drive measurable business impact across fintech and healthtech domains, including clinical text analysis.

Education

Mar 2026 — University of Melbourne

Melbourne, VIC

Master of Data Science in Artificial Intelligence

Thesis: "Attention-Based Neural Models for Clinical Text Classification" — focused on extracting insights from unstructured clinical data, published in ACSW 2019. Coursework in deep learning, Bayesian statistics, and distributed computing.

Mar 2026 — Monash University

Melbourne, VIC

Bachelor of Computer Science in Software Engineering

Dean's List 2016 & 2017. Capstone project on real-time sentiment analysis of social media streams using Apache Spark.

Employment

Mar 2022 – Present — Machine Learning Engineer at Canva

Sydney, NSW

Built and deployed real-time image recommendation engine serving 50M+ monthly users using PyTorch and AWS SageMaker
Reduced model inference latency by 40% through quantisation and ONNX runtime optimisation
Led migration of ML pipelines from batch to streaming architecture using Apache Kafka and Flink

Jan 2020 – Feb 2022 — Data Scientist at Commonwealth Bank

Melbourne, VIC

Developed fraud detection models using XGBoost and neural networks, reducing false positives by 25%
Designed A/B testing framework for personalised product recommendations across mobile banking app
Automated feature engineering pipelines processing 10TB+ daily transaction data with PySpark

Mar 2019 – Dec 2019 — Junior Data Analyst at Telstra

Melbourne, VIC

Built automated reporting dashboards in Python and Tableau, reducing manual reporting effort by 60%
Performed churn prediction analysis on 2M+ customer records using logistic regression and random forests
Collaborated with product teams to define KPIs and deliver weekly insights on network performance metrics

Projects

AWS Certified Machine Learning - Specialty Jun 2023

Amazon Web Services

TensorFlow Developer Certificate Sep 2021

Google

Google Professional Machine Learning Engineer Jan 2024

Google Cloud

Deep Learning Specialisation May 2020

Coursera (Andrew Ng)

Skills

■ Python (expert)

■ PyTorch (advanced)

■ TensorFlow

■ AWS SageMaker

■ SQL

■ Docker

■ MLflow

■ PySpark

■ Scikit-learn

■ NLP

■ Kubernetes

■ Git

■ Hugging Face

■ FastAPI

■ PostgreSQL

■ Apache Kafka

Languages

English (native) | Mandarin (conversational) | Japanese (basic)