My key strengths are adaptability, fast learning, and curiosity around new technologies. I enjoy solving technical problems, learning modern tools quickly, and working on practical systems involving AI, backend development, and automation.
I work best in collaborative startup-style environments where I can contribute technically, learn from experienced people, and continuously improve through real-world projects.
I’m generally open to exploring different opportunities, especially in tech and startups. Prefer roles that involve learning, problem-solving, collaboration, and opportunities to grow technically rather than highly repetitive non-technical work.
I’m highly motivated to gain hands-on industry experience while studying and am especially interested in working with startups and ambitious teams building meaningful products. I enjoy learning quickly, taking initiative, and exploring emerging areas like AI agents, scalable systems, and intelligent applications.
One achievement I’m proud of is getting involved in an AI Judge experimentation project connected to hackathon evaluation systems and startup workflows. It gave me hands-on exposure to designing structured AI evaluation pipelines, backend architecture, and real-world problem solving beyond university coursework. I’m also proud of actively putting myself into startup and tech communities in Melbourne, attending networking events, meeting founders, and continuously building practical technical skills alongside my studies.
I'm a Data Science and AI student with hands-on experience building backend systems, automation workflows, and AI-related projects. I recently worked on an AI Judge experimentation project focused on structured evaluation pipelines, agent workflows, and scalable backend architecture for hackathon-style judging systems.
My interests span AI agents, machine learning applications, backend development, cloud infrastructure, and startup technology. I'm comfortable working with Python, FastAPI, PostgreSQL, JavaScript, and modern web technologies while continuously learning and building practical projects.
