Alex Cummaudo, PhD
Melbourne, Australia

Experienced software developer and machine learning engineer with a demonstrated history of working in commercial and R&D sectors, holding a PhD in software engineering and machine learning integration. Skilled in data mining and analysis, machine learning, full-stack software development (including mobile), and agile methodologies.

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List your work history, including any contracts or internships
Feb 2024 - May 2024 (3 months)
Collingwood, Australia
Machine Learning Engineer
Empowering the world to design using AI.
REA Group
2 years 8 months
Richmond, Australia
Machine Learning Engineer
Jun 2022 - Jan 2024 (1 year 7 months)
As an ML Engineer at REA, I led technical R&D for GenAI experiments on our flagship and sites. Engaged as a technical conduit between product/marketing stakeholders and dev teams, I technically advised in brainstorming sessions, led comprehensive feasibility research in the use cases considered, performed cost assessments (ensuring that live experiments operated within budget), and devised guardrails to developers who implemented experiments in their custodian codebases.

Additionally, I led the development of a property attribute extraction ML pipeline from property listing images. Performing comprehensive technology analysis, pricing estimates, performance evaluations, pipeline implementation, and model optimisation, I ensured the project could be scaled out to handle millions of images at once via rigorous performance testing. This initiative resulted in the successful extraction of new attributes through ML at scale from unstructured data sources, hydrating new property features to hundreds of thousands of property listings each month.

Beyond technical contributions, I fostered a strong engineering-first culture and knowledge collaboration within the team, including a revamp of our team’s documentation processes and producing artefacts such as overarching model architecture and data-flow diagrams.

Outside of my core role, I helped elevate AI literacy across REA. Tailoring numerous presentations on (Gen)AI to diverse (non-)technical audiences, this education uplift garnered praise for making AI more accessible to all by many. Notably, my company-wide AI literacy talk for REA's 2023 AI-themed hackathon reached 450+ individuals.

In June 2023, I had the privilege of representing REA at NewsCorp Global Technology’s inaugural AI Hackathon in Princeton NJ, where I presented REA's innovative approach to AI and ML to an audience of over 100+ (including Google, GitHub, and AWS) that was also exceptionally well-received.
openai computer vision python bigquery vertexai sagemaker
Data Engineer
May 2021 - Jun 2022 (1 year 1 month)
Uplifting's personalisation stack with real-time streaming.
scala apache kafka bigdata braze tealium data engineering airflow aws gcp cloud elasticsearch
A²I² - Applied Artificial Intelligence Institute, Deakin University
4 years 4 months
Burwood, Australia
Postdoctoral Research Fellow
Jun 2020 - May 2021 (11 months)
Curate, cleanse, analyse, and visualise (un)structured data to produce experiment datasets and provide insight to clients, expressing insights in research papers.
data visualization data analysis data science python pytorch latex
PhD Candidate
Dec 2016 - May 2020 (3 years 5 months)
Developed new techniques to robustly integrate cloud-based computer vision models. See
computer vision opencv machine learning amazon rekognition google cloud vision azure computer vision python ruby r data science data analysis data visualization data analytics data science machine learning numpy keras opencv computer vision

Add some compelling projects here to demonstrate your experience
SplashKit Educational SDK
Jul 2016 - Jan 2018
Open Source
SplashKit is a beginner's all-purpose software toolkit for use in teaching introductory programming to university and high school students. My key contribution to the project was to develop a language translation processor from a C backend to a C++, Pascal, and Python frontend, in addition to generating the SplashKit website and API documentation directly from source code.
c c++ ruby headerdoc
Doubtfire LMS
Jul 2013 - Jul 2018
Open Source
Doubtfire is an open-source modern, lightweight learning management system. My key contributions were to develop a built-in feedback system for improved communication with teachers and students, visualise student progression in a unit and their learning progress as burn-down charts, and visualise unit progression for staff members to see how their students are progressing in a unit. I also wrote an assignment upload system that generates student submissions from code, PDF and image files to then generate a portfolio generation system, aggregating student work into one document.
ruby coffeescript AngularJS null
This section lets you add any degrees or diplomas you have earned.
Swinburne University of Technology
Bachelor of Science - BSc, Software Development
Jan 2013 - Jan 2016
Deakin University
Doctor of Philosophy - PhD, Software Engineering and Machine Learning
Jan 2018 - Jan 2021
Thesis Title: Improving the Reliability of Cloud-Based Pre-Trained Machine Learning Models
Deakin University
Bachelor of Information Technology (Honours) - BIT(Hons), Software Engineering / Computer Vision
Jan 2017 - Jan 2017

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