Daniel Chua

Software Engineer at Hamilton Resourcing

Designed and delivered end-to-end AI solutions, owning the full lifecycle from data strategy and model development to deployment and production monitoring. Built and optimized Computer Vision, NLP, and LLM-based systems, improving model performance, relevance, and token efficiency through advanced preprocessing and adaptive architectures. Developed scalable pipelines for training, validation, and post-processing, addressing real-world challenges such as data noise and variability. Collaborated cross-functionally to translate business requirements into robust, production-ready AI products.

AI Engineer at Brillio

Designed a cross-document analysis platform using sentence-transformers and FAISS, achieving 93% recall across structured and unstructured data. Built a multi-stage RAG pipeline with GPT-4 and LangChain, eliminating hours of weekly manual effort in test case creation. Improved LLM response relevance and token efficiency by 78% through optimized chunking and retrieval strategies. Developed and maintained the database schema, ensuring data integrity and efficient retrieval. Built AI agents that automated complex internal workflows and reduced manual operational effort. Increased test case generation accuracy to 92% via iterative prompt optimization and evaluation loops. Containerized and deployed AI services using Docker, accelerating model delivery by 25% through improved CI/CD collaboration.

Machine Learning Engineer at Overjet AI

Built and productionized AI systems for dental diagnostics, owning the full ML lifecycle from data strategy to cloud deployment. Developed 2D medical imaging pipelines for classification, detection, and segmentation. Implemented ML solutions across computer vision, NLP, and early LLM-based systems. Addressed production challenges including data variability, model robustness, and scalable cloud-based inference. Delivered AI solutions used by dentists and insurers in clinical environments.

Software Engineer at Hamilton Resource

Designed and delivered end-to-end AI-powered HR technologies for organizations in the MENA region, owning the full life cycle from data strategy to deployment and production monitoring. Built scalable data pipelines for training, validation, and post-processing; addressed real-world challenges such as data noise and variability. Collaborated cross-functionally to translate business requirements into robust, production-ready AI products.