Matthew Lee
ML EngineerSenior Computer Vision Engineer
Swiftpos
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Computer Vision Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Griffith University
Bachelor's Degree, Information Technology (Honours)
January 1, 2018 – January 1, 2019
Griffith University
Bachelor’s Degree, Information Technology and Multimedia
January 1, 2015 – January 1, 2018
St Michael's College, Adelaide
Year 12
January 1, 2006 – January 1, 2010
Swiftpos
Senior Computer Vision Engineer
February 1, 2026 – Present
Brisbane, Queensland, Australia · Hybrid
Smart AI Connect
MLOps
April 1, 2022 – September 1, 2025
Datarwe
Data Scientist
March 1, 2020 – April 1, 2022
Augmented Intelligence
Machine Learning Engineer
July 1, 2017 – March 1, 2020
Southport
Dreamz.AI
Software Engineer
May 1, 2016 – July 1, 2017
Varsity Lakes
Gamecoach.gg
January 1, 2023 – Present
Sports and Esports coaching tools. 30k pageviews + 6k unique visitors per month ~100 paying users - Built initially with Supabase, Nuxt and Vuejs - Currently being ported to use a GO backend with NextJS (70% complete) - Am the sole software engineer on the project Features: - Real-time canvas collaboration - Saving and sharing - Stripe integration and subscription management - User authentication - Strategy Hub for publishing strategies. Users can like and comment
Horse Breed Quality Predictor
January 1, 2019 – July 1, 2019
- 6 month contract - Developed breed quality predictor based on parent attributes. - Managed data pipeline, scraping, curation, training and deployment - Used by private individual to purchase horses at the Gold Coast Magic Millions
Griffith Innovate Labs
September 1, 2017 – March 1, 2019
Co-founded with other students. We ran workshops, projects and even live streams.
Gold Coast Artificial Intelligence and Machine Learning Group (GCAIML)
February 1, 2017 – April 1, 2022
Community group for machine learning and AI. We ran workshops, presentation sessions and events.
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across various companies and personal projects, including community involvement (GCAIML, Griffith Innovate Labs), indicates a proactive and engaged individual. Their experience in both established companies and personal ventures, coupled with a focus on practical application of ML (e.g., Horse Breed Quality Predictor, Gamecoach.gg), suggests adaptability and a strong drive for innovation. The target role of ML Engineer aligns well with their career trajectory and demonstrated skills.
Soft Skills & Operational Fit
The candidate's project descriptions indicate strong initiative, leadership (leading projects, mentoring interns), and end-to-end ownership of ML systems. Their involvement in community groups and co-founding initiatives suggests good collaboration and communication skills, which are crucial for operational fit in a senior role. The detailed descriptions of project impact (e.g., 30k pageviews, 100 paying users, used by private individual for purchases) demonstrate a results-oriented mindset.