Bryan Siow Email & Phone Number

Singapore

Singapore

• Engaged in a comprehensive 2-month deep-skilling programme covering diverse AI domains; including Computer Vision (CV), Natural Language Processing (NLP), Large Language Models (LLM) and Classical Machine Learning (ML).
• Designed and implemented a Chrome plugin recommender system for Hugging Face models based on similarity search algorithms (Cosine, Jaccard similarity).
• Deployed and delivered an end-to-end NLP project on Punctuation Restoration for Medical Automatic Speech Recognition by fine-tuning pre-trained transformer models.
• Demonstrated expertise in effectively utilizing Docker and Kubernetes to ensure smooth, uniform deployment across a range of environments.
• Leveraged upon Fast API to adeptly construct a robust API, ensuring the seamless execution of model inferences.

Singapore

• Designed and developed a user-friendly graphical user interface (GUI) to facilitate the automatic generation of toolpaths for food molding processes.
• Applied advanced 3D modelling techniques to produce synthetic datasets, effectively supporting the training of detection models with limited data (10 images).
• Employed Monte-Carlo simulations to enhance dataset diversity and quality for small dataset training.
• Creation of a scalable public image dataset repository to benefit X-ray CT AI research.
• Conducted semi-supervised labelling employing a combination of the random forest classifier and U-NET semantic segmentation techniques for defect detection in Additive Manufactured parts.
• Served as a co-author for a conference paper presented at the Singapore International Non-destructive Testing Conference and Exhibition 2022.