Full-stack Developer

My key strengths are persistence, curiosity, ownership and practical problem-solving. I am someone who stays committed when a problem becomes difficult. I do not give up easily; I break complex issues into smaller parts, investigate the underlying cause and continue iterating until I find a reliable solution. I am naturally curious and enjoy going beyond the immediate task to understand how a system, dataset or business process really works. This is especially valuable when working with complex or messy data, where I like to investigate patterns, validate assumptions and translate findings into useful products or operational improvements. Working in a smaller organisation has also given me the opportunity to take full ownership of systems. I am comfortable moving from requirements and architecture through development, cloud infrastructure, CI/CD, monitoring and production support. My strongest technical areas are full-stack engineering, cloud and DevOps engineering, data analytics, and practical AI implementation. I have worked across Azure, AWS and GCP, and I actively explore modern tools such as Supabase and emerging development frameworks in my own time. I am also highly cost-conscious. When designing a solution, I consider not only whether it works, but whether it is maintainable, scalable and financially sensible. I regularly look for simpler architectures, automation opportunities and more efficient ways to use cloud resources. Other than my technical and soft skills, I am also a proud and proactive adopter of AI tools and emerging technologies. I regularly use platforms such as OpenAI, ChatGPT, Claude, Claude Code, Copilot and Google Gemini to support software development, debugging, research, documentation and solution design. I have also explored LangChain, experimented with different AI models and built small proof-of-concept workflows to better understand how AI can be applied effectively in real products. I see AI as a practical engineering tool that can improve productivity and quality when used thoughtfully, and I am always looking for new ways to integrate it into development workflows and business solutions. Companies should hire me for work that requires someone to take ownership, learn quickly and connect multiple technical areas, as well as an adaptable software engineer who is always open in getting his hands dirty by learning, investigating, and deep diving into something new! I do my best work when solving ambiguous problems, building end-to-end systems, investigating data deeply and improving reliability through proactive monitoring. Most importantly, I care about the outcome and give my full effort toward building solutions that genuinely improve the company or project.

I am looking for a role where I can take genuine end-to-end ownership, from understanding the business problem and shaping the solution through to implementation, deployment, monitoring and continuous improvement in production. I am particularly interested in technically challenging work involving cloud platforms, backend services, data integration, distributed systems and customer-facing applications. I also enjoy combining software engineering with analytics—building data pipelines, working with large datasets and turning operational data into useful insights that support better decisions. From an industry perspective, I am especially interested in renewable energy, the Australian energy market and other sectors where technology can create meaningful real-world impact. My current experience in energy retail has given me exposure to metering, billing, customer data, market processes and cloud-based data platforms, and I would be excited to continue contributing in this space. I am also interested in organisations that use AI thoughtfully to improve engineering workflows and deliver practical business value. Ultimately, I am seeking a role where I can solve meaningful problems, take production responsibility and continue growing across full-stack engineering, cloud architecture, data and analytics.