Work expectations
Status
Actively looking
Not looking
Open to new opportunities
Previously hired through SkillsRobin
Location
Newcastle, Australia
-
Open to relocating
Commitment
Full-time; Casual / Freelance / Part-time; Join as a startup co-founder
Availability from time of offer
Immediately
Experience
1-2 years
experience
Top 3 programming languages/frameworks
Python, TensorFlow
Also knows
Java, JavaScript, C/C++, R, PyTorch, Flask
Preferred work environment
In the office; Fully remote; Hybrid
Strengths
Interested in working involving
Looking for a role where I can apply my practical experience in AI/ML, and cloud automation to build scalable, production-grade AI systems. Excited to join a collaborative team in Newcastle or anywhere in Australia, driving innovation in Generative AI, CI/CD, and software, data infrastructure . I value open communication, learning culture, and teamwork, and am excited to contribute to organisations that combine technical excellence with real-world impact.
Not interested in work involving
I’m not interested in roles that lack opportunities for learning, collaboration, or innovation. I value transparency, strong ethics, and a supportive team culture where technical excellence and continuous improvement are encouraged.
Other information
I’m based in Newcastle, Australia and passionate about building secure, scalable AI systems that create real-world impact. I value collaboration, continuous learning, and innovation, and I’m eager to contribute to an organisation that combines strong engineering culture with meaningful purpose.
Able to work in Australia without visa sponsorship
Requires visa sponsorship to work in Australia
Pay expectations
Full-time
$
70000
per year
Casual / Contract
$
55
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
My greatest professional achievement was designing and deploying a transformer-based food recognition system capable of classifying over 2,000 food categories using TensorFlow and PyTorch on the Spartan HPC cloud. I built end-to-end data pipelines, automated training workflows, and optimized distributed GPU processing. This project strengthened my expertise in scalable ML infrastructure, CI/CD automation, and cloud deployment, the skills I possess to apply on production-grade AI systems.
Software Engineer at a Global Consumer Electronics & Embedded Systems Company
Feb 2019 – Jan 2020 · 1 year
- Designed and optimized Python-based data pipelines for image data, boosting data processing throughput and embedded-system productivity by 50%.
- Built automated ETL pipelines for collecting and processing embedded-system logs, ensuring reliable ingestion into SQL Server for real-time performance tuning and improved system explainability.
- Diagnosed and resolved automotive software defects weekly using Agile practices, supporting developers in rapidly addressing complex issues.
- Collaborated with a focused three-member team to create an automated vision-processing system that eliminated manual validation and enabled scalable machine-learning workflows.
- Coordinated cross-functionally to translate detailed business requirements into production-ready workflows with robust feature-extraction capabilities, ensuring both reliability and scalability.
- Partnered with a six-member team to maintain version control, conduct unit and UI testing, and introduce improvements that enhanced infotainment software efficiency by 40%.
Education
Studied Computer Science at the University of Melbourne, specialising in Machine Learning, NLP, and Cloud Computing.
Completed a Bachelor of Technology in Computer Science and Engineering, building strong foundations in software development and system design.
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