About Me
I’m an algorithm engineer focused on applied AI, semantic retrieval, and data products. At Huawei’s AppGallery, I developed embedding-based search and query understanding methods using app metadata and user interaction data. My work connected representation design with relevance evaluation, production integration, and online experiments.
I hold a Ph.D. from Nanyang Technological University, where I worked on representation learning and neural compression for time-series data. I’m interested in using AI to make complex data easier to retrieve, evaluate, and use, and in building reliable data products around those capabilities.
Selected Work
Semantic Retrieval for App Search
Developed and evaluated embedding-based retrieval for AppGallery, connecting app metadata and search queries with production search workflows and online experiments.
View projectEvaluating Embedding Quality
Built an evaluation workflow using graded, LLM-assisted relevance labels and retrieval metrics to compare embedding representations and examine failure cases.
View projectLearning from User Behavior
Analyzed query–app interactions to study user intent and develop behavior-informed query representations and token-importance estimates.
View projectExperience
Huawei Singapore Research Center
Singapore
Algorithm Engineer | Jun 2025 – Present
- Developed semantic retrieval and query understanding methods for AppGallery using app metadata, pretrained embedding models, and user interaction data.
- Built offline evaluation workflows and investigated retrieval quality through relevance labels, ranking metrics, and error analysis.
- Collaborated on production integration and evaluated retrieval changes through online experiments.
Nanyang Technological University
Singapore
Ph.D. Research Student | Aug 2021 – May 2025
Research in representation learning and neural compression for time-series data. Developed autoencoder and attention-based methods for compression and reconstruction, and contributed to work on multimodal learning and classification with limited or imbalanced data.
Singapore Institute of Manufacturing Technology (SIMTech), A*STAR
Singapore
Research Intern, Industrial Robotics Team | Jul 2019 – Dec 2019
Education
Nanyang Technological University, Singapore
Ph.D., Interdisciplinary Graduate Programme (AI-X)
Aug 2021 – Dec 2025
Research focus: representation learning, neural compression, and multimodal learning.
Nanyang Technological University, Singapore
B.Eng., Robotics & Mechatronics Engineering (Distinction)
Aug 2017 – Jun 2021
McGill University, Montréal
Overseas Exchange Programme
Jan 2020 – Jun 2020
Awards
- Grand Challenge Award, 2nd Prize | IEEE BioCAS | Oct 2024
- Grand Challenge Award, 1st Prize | IEEE BioCAS | Oct 2023
- NTU Research Scholarship | Nanyang Technological University | May 2021
- International Region, 1st Prize | DJI RoboMaster Competition | Aug 2018
- NTU Science and Engineering Undergraduate Scholarship | Nanyang Technological University | Jun 2016