Work expectations
Status
Location
Commitment
Availability from time of offer
Development experience
Top 3 languages or frameworks
Also knows
Preferred work environment
Strengths
- I specialise in turning messy, real-world scientific or operational data into usable systems and decisions.
- I’m strongest when the problem is under-defined: figuring out what matters, structuring the data, building the first end-to-end version, and iterating quickly based on feedback.
- I work comfortably across data exploration, modelling, validation, and backend implementation, and I communicate well with both technical and domain experts.
- I’m motivated by environments where progress is measured by outcomes and learning speed.
Interested in working involving
I’m looking for roles where machine learning and data are used to improve real decisions.
I’m most interested in early-stage or growing teams working with complex, messy data, especially in scientific, industrial, or technical domains, where I can build and iterate on end-to-end systems close to product and business needs.
While I’m particularly drawn to applied ML, scientific AI, computer vision, and data-heavy products, I’m very open to adjacent backend or systems work that enables faster learning and leverage.
Not interested in work involving
Other information
Pay expectations
Full-time
Casual / Contract
Work experience
Proudest professional achievement
Software Tester / ML Developer — Early-Stage AI/ML Startup
2025 – Present
- Automated API and web testing using PyTest, Requests, and Playwright.
- Built NLP evaluation pipelines (POS tagging, confusion matrices) using Python and R.
- Performed data analysis, model validation, and reproducibility improvements.
- Gained hands-on exposure to AWS-based deployment and development environments.
PhD Researcher — Large Public Research University
2021 – 2025
- Built end-to-end computer vision and machine learning systems for analysing physical and chemical data (contact angles, wetting, materials interfaces).
- Designed synthetic datasets, validation workflows, and HPC-scale training pipelines.
- Developed scientific Python tooling with OpenCV, TensorFlow, and related libraries.
- Published research in Langmuir (ACS) and collaborated with chemists and materials scientists.
- Led development of a desktop scientific imaging application in collaboration with computer science students.
Tutor & Research Assistant — Large Public Research University
2021 – 2024
- Taught materials science and supervised Masters-level projects in ML and surface science.
- Assisted in experimental analysis, modelling, and data-processing workflows.
Independent Developer — Personal Product Project
2025
- Built an end-to-end application using Python, FastAPI, Streamlit, and automated data-ingestion pipelines.
- Processed unstructured supplier data and delivered a functional UI for real users.
- Demonstrated strong backend engineering, product development, and data pipeline capabilities.
Workshop Manager — Small Local Automotive Repair Business
2014 – 2022
- Managed scheduling, quoting, and day-to-day operations in a fast-paced workshop environment.
Education
PhD in Chemical Engineering
University of Melbourne • 2021–2025
- Thesis: Machine Learning and Automated Analysis for Contact Angle Measurement
- Built ML systems for extracting structured scientific data from images
- Developed synthetic datasets and HPC-scale training pipelines
- Published in Langmuir (ACS Journal)
- Developed open-source analysis tools using Python, OpenCV, TensorFlow, and PyTorch
- Best Presentation Award, ACSSSC 2024
Bachelor of Science (Honours)
Monash University
- Major in Chemistry, minor in Mathematics & Biochemistry
- Honours thesis on ML prediction of molecular thermodynamic properties (HD 91)
International Research Experience
Leibniz-Institut für Polymerforschung, Dresden • 2019
- Focus on experimental surface science and automated Python-based analysis tools
Leibniz-Institut für Oberflächenmodifizierung, Leipzig • 2024
- Focus on experimental surface science and automated Python-based analysis tools