Master of Artificial Intelligence and Machine Learning
Adelaide University · Current GPA 6.33/7.00. Current study areas include machine learning, AI engineering, research methods and reliable generative AI.
About & education
I am a software engineer and machine learning researcher based in Adelaide, South Australia. I am studying the Master of Artificial Intelligence and Machine Learning at Adelaide University, with interests spanning federated learning, natural language processing, generative AI, reliable AI systems and production software engineering.
Adelaide University · Current GPA 6.33/7.00. Current study areas include machine learning, AI engineering, research methods and reliable generative AI.
CGPA 3.50/4.00. The degree built foundations in software engineering, algorithms, machine learning, systems and applied research.
Experience with full-stack, backend and mobile development using Python, Django, Next.js, TypeScript, Flutter, PostgreSQL, Laravel, Vue.js, Linux and cloud deployment workflows.
View software engineering experience →Published work includes federated learning with transformer-based NLP, multi-core ML performance, and post-COVID infodemic governance. Current interests include RAG reliability and hallucination mitigation.
View research publications →Supports awareness activities and student-facing communication around academic integrity and ethical study practices.
Contributes to product engineering, architecture and application development for an Adelaide-based software studio.
Worked across application workflows using technologies including Laravel, Vue.js and related software engineering practices.
Supported students and teaching activities in computing subjects, with an emphasis on clear technical explanation and guidance.