I'm Anthony Nguyen, a Melbourne-based AI Engineer with 2 years of project experience in machine learning, multi-agent AI, and Retrieval-Augmented Generation (RAG). I specialize in fine-tuning models and architecting end-to-end RAG systems using Pinecone and LangChain to deliver scalable, explainable AI solutions. I enjoy turning complex research into practical tools, exploring Explainable AI and model robustness with Chain-of-Thought to improve transparency in LLM decision-making. I also enjoy building user-friendly, transparent ML pipelines and sharing insights with non-technical stakeholders.

Anthony Nguyen

I'm Anthony Nguyen, a Melbourne-based AI Engineer with 2 years of project experience in machine learning, multi-agent AI, and Retrieval-Augmented Generation (RAG). I specialize in fine-tuning models and architecting end-to-end RAG systems using Pinecone and LangChain to deliver scalable, explainable AI solutions. I enjoy turning complex research into practical tools, exploring Explainable AI and model robustness with Chain-of-Thought to improve transparency in LLM decision-making. I also enjoy building user-friendly, transparent ML pipelines and sharing insights with non-technical stakeholders.

Available to hire

I’m Anthony Nguyen, a Melbourne-based AI Engineer with 2 years of project experience in machine learning, multi-agent AI, and Retrieval-Augmented Generation (RAG). I specialize in fine-tuning models and architecting end-to-end RAG systems using Pinecone and LangChain to deliver scalable, explainable AI solutions.

I enjoy turning complex research into practical tools, exploring Explainable AI and model robustness with Chain-of-Thought to improve transparency in LLM decision-making. I also enjoy building user-friendly, transparent ML pipelines and sharing insights with non-technical stakeholders.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Work Experience

Research Assistant at IDAL Lab
July 1, 2024 - January 1, 2025
Optimized large-scale experimental workflows on the OzStar Supercomputer, identifying bottlenecks to increase model output consistency and latency by 20%. Investigated Explainable AI (XAI) and model robustness, utilizing Chain-of-Thought (CoT) to improve transparency in LLM decision-making. Conducted a comparative analysis of novel prompt engineering techniques, establishing performance baselines against Zero-Shot and Few-Shot methodologies.

Education

Bachelor of Computer Science at Swinburne University
January 11, 2030 - January 22, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Education, Professional Services