
Computer vision
Built a reusable object detection pipeline from annotation and augmentation to training, tuning and evaluation, with result visualisation.
Open to collaborations and rolesUTC+8
I turn algorithms, data, and systems into products that ship and stay maintainable.
Software engineering master's; I work on AI data, computer vision and full-stack systems, with a focus on reproducibility and delivery quality.
Software engineering master's degree, research in intelligent algorithms, computer vision and data mining. I have worked on data and modelling for a national research project, and on multimodal medical data, knowledge graphs, object detection, analytics and web systems.
01
A few representative cases across data, models and systems.

Computer vision
Built a reusable object detection pipeline from annotation and augmentation to training, tuning and evaluation, with result visualisation.

Research
Built collection, cleaning and modelling workflows for social differentiation data, supporting classification, clustering and identification experiments.

LLM / NLP
Extracted diseases, symptoms and relations from medical text; designed a graph schema to support retrieval and assisted diagnosis.
Case studies are currently in Chinese.
02
Not limited to one track: algorithms, engineering and data are different sides of the same work.
03
Notes on engineering trade-offs, content modelling and quality gates.
04 / Contact
Email is best; I usually reply within one or two business days.