AI Specialist | CS @ Monash
I build intelligent systems that solve real problems — from real-time voice AI agents and retrieval-augmented generation pipelines to reinforcement-learning research. Passionate about pushing the boundaries of what AI can do in production environments.
A selection of projects I've built across AI, research, and product.
Real-time multilingual voice AI agent built with LiveKit and LlamaIndex, integrated with a Proto Hologram device for an immersive business use case. Implemented a cascaded pipeline that reduced inference costs by 32% and lowered perceived latency by 10% compared to speech-to-speech solutions.
Internal retrieval-augmented generation system leveraging Qdrant as a vector database, Inngest for workflow orchestration, and FastAPI for the backend. Boosted employee efficiency by 50% by enabling intelligent search and retrieval across company documents using LangChain.
Research project combining autoencoders for dimensionality reduction with reinforcement learning to model network attack patterns on the CICIDS2017 dataset, achieving approximately 97% accuracy. Refined hyperparameters using grid search and Bayesian optimization, increasing detection recall to 92% while reducing false positives by 6%.
Thoughts on AI, engineering, and things I'm learning.