Machine Learning Intern at A*STAR SIMTECH
Designed a SaaS forecasting architecture, improving model accuracy by 30% and reducing retraining time by 40%.
Designed a SaaS forecasting architecture, improving model accuracy by 30% and reducing retraining time by 40%.
Built document extraction and hybrid search pipelines that reduced intake time by 60% and retrieval time by 70%.
Extended recurrent convolutional networks for surface code quantum error correction and quantized models for FPGAs.