Work expectations
Status
Actively looking
Not looking
Open to new opportunities
Previously hired through SkillsRobin
Location
Sydney
-
Open to relocating
Commitment
Full-time; Casual / Freelance / Part-time; Join as a startup co-founder
Availability from time of offer
In 1 month or less
Experience
7+ years
experience
Top 3 programming languages/frameworks
Python - scientific stack and modern backend tooling.
Also knows
Cloud engineering (CDK, Terraform), C++.
Preferred work environment
In the office; Fully remote; Hybrid
Strengths
Interested in working involving
I'm keen to make an impact in an early-stage team, ideally one solving tangible problems with AI. I thrive in cross-disciplinary builder roles across AI/ML, data science, engineering and product. I love hard problems and a steep learning curve.
Not interested in work involving
I am not interested in working for a company that ultimately makes money through consumer gambling losses. I am interested in the defense industry, however would not like to work on systems incorporating offensive weapons.
Other information
Able to work in Australia without visa sponsorship
Requires visa sponsorship to work in Australia
Pay expectations
Full-time
$
180000
per year
Casual / Contract
$
175
per hour
Pay is negotiable in exchange for equity
Pay is negotiable in exchange for equity
Pay is not negotiable in exchange for equity
Open to volunteering or working for equity only
Not interested in volunteering or working for equity only if joining as a co-founder
Work experience
Proudest professional achievement
Ata previous startup, I led our retail optimisation product from an idea to a business. I built the core models for space and assortment, extended them as we grew, and built a team to commercialise them. I wore product/engineering/science hats throughout, ultimately growing the product to A$8m ARR before I left.
Founding Engineer @ Early-Stage AI Infrastructure Startup
September 2025 – Present · Sydney, Australia
- Founding engineer responsible for core system architecture, early product development, and technical decision-making.
- Contribute across backend, frontend, infrastructure, and deployment workflows to accelerate product-market fit.
Co-Founder @ Operational Analytics SaaS Startup
July 2024 – September 2025 · Sydney, Australia (Hybrid)
- Co-founded a software business focused on making operational decision-making more accessible and data-driven.
- Led product direction, prototyping, customer discovery, and early go-to-market execution for the platform.
- Built foundational components of the analytics tooling, enabling clients to optimise workflows more effectively.
Design Mathematician @ Large Renewable-Energy Infrastructure Company
October 2022 – August 2023 · Sydney, Australia
- Collaborated with engineering and commercial teams to identify, model, and quantify optimisation opportunities across major energy projects.
- Implemented improved software engineering practices, including testing frameworks, CI/CD pipelines, and contribution guidelines.
- Mentored team members on software engineering skills such as peer review, testing, databases, and infrastructure-as-code.
- Migrated a large optimisation platform to AWS, significantly increasing usability and computational capacity.
- Worked with subject-matter experts to ship new optimisation features and contribute to financial modelling, resource analysis, and investor presentations.
- Helped shape a roadmap to transform the optimisation platform into a scalable self-service application.
Data Science, Product Lead & Engineering Roles @ Growth-Stage AI Optimisation Startup
October 2017 – October 2022 · Sydney, Australia
- Joined at an early stage, initially implementing custom optimisation solutions for enterprise clients.
- Identified a major market opportunity and built a new product from the ground up, securing traction in the US and Japan.
- Built and led a multidisciplinary product team responsible for rapid development of this new optimisation offering.
- Supported the company’s Series A fundraise, focused on scaling the newly developed product line.
- Remained hands-on across data science, operations research, software engineering, architecture, engineering management, product leadership, pre-sales, and strategy.
Research Student, Optimisation @ National Research Agency (Data Science Division)
2016 – 2017 · Canberra, Australia
- Conducted research in mathematical optimisation and computational methods as part of a national data science research unit.
- Developed algorithms, models, and experiments that contributed to broader optimisation research initiatives.
Education
Studied Mathematical Applications and Computations (Honours) at The Australian National University
Studied Applied Mathematics and Physics at The University of Western Australia
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