Retinal Disease Classifier
Ran zero-shot and linear-probe experiments with FLAIR for diabetic retinopathy and glaucoma detection. Hit 0.92 AUROC with only 5-20% labels.
View ProjectI build intelligent systems, from foundation models and LLM pipelines to real-world AI tools.
Ran zero-shot and linear-probe experiments with FLAIR for diabetic retinopathy and glaucoma detection. Hit 0.92 AUROC with only 5-20% labels.
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End-to-end training data engine: generates, evaluates with LLM-as-judge, detects contamination, fine-tunes with LoRA, and runs significance tests. 184 tests, +16.8% ROUGE-1.
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Built a compliance documentation service for Australian real estate agencies facing new AUSTRAC AML/CTF obligations. Customised programs, 5-day turnaround.
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I'm an AI / Machine Learning Engineer with a Master of Artificial Intelligence from Monash University. I work across foundation models, LLMs, and computer vision - from retinal disease classifiers to fine-tuning models for text-to-SQL.
Currently a Business Fellow at Perplexity AI, where I prototype LLM agent workflows and dig into AI product strategy. I like taking projects from idea to working tool.
Download ResumePerplexity AI
Prototyping LLM agent workflows and working on AI product strategy. Building no-code and low-code tools to automate internal analysis.
Monash University
Ran zero-shot vs linear-probe experiments with the FLAIR vision-language model for retinal disease detection. Built the full Python/PyTorch research pipeline from scratch.
Monash University
Coursework in deep learning, NLP, computer vision, and reinforcement learning. Research focused on foundation models for medical imaging.
1337 Ventures
Researched ~400 Malaysian startups, categorising companies by sector, stage and traction to map the early-stage ecosystem and support deal flow.
DeepLearning.AI · Coursera
DeepLearning.AI · Coursera
DeepLearning.AI · Coursera
Google · Coursera
Or send me a message directly