Pier Lim
About Pier Lim
Pier Lim is a Senior Machine Learning Engineer at Temasek in Singapore, with extensive experience in data science, software engineering, and project leadership.
Company
Pier Lim currently works at Temasek as a Senior Machine Learning Engineer in Singapore. Temasek is a well-known investment company engaged in various sectors, leveraging data-driven insights for portfolio management.
Title
Pier Lim holds the position of Senior Machine Learning Engineer at Temasek. In this role, they are responsible for developing and implementing machine learning algorithms, working on projects such as Time Series Prediction for Risk, and deploying solutions on platforms like AWS Openshift.
Education and Expertise
Pier Lim has a strong educational background with a Master of Technology in Knowledge Engineering from the National University of Singapore, focusing on Data Science and Machine Learning. They also hold a Bachelor of Computer Engineering from Nanyang Technological University, completed in 2006. Their expertise includes areas such as Natural Language Processing, Enterprise Search Systems, and Smart Information Extraction.
Background
Pier Lim has a diverse professional background. They served as a Business Intelligence intern at Scoot and as a graduate student at the National University of Singapore. Prior to this, they worked at DSO National Laboratories as a Senior Software Engineer and founded a company called Tenacious Frog. Additionally, they held managerial positions at Media Development Authority and led projects at DSTA.
Achievements
Pier Lim has designed and implemented a Smart Information Extraction system from unstructured data in PDFs and developed an Enterprise Search system utilizing Natural Language Processing for semantic searches and knowledge graphs. They have also deployed multiple projects on AWS Openshift and worked on Bloomberg Companies Classification using NLP. Beyond their practical work, Pier maintains a GitHub profile and a blog, where they share insights and projects related to data science and software engineering.