- Develop and implement computer vision software and inspection algorithms to support product intelligence.- Design and create advanced machine learning algorithms for image classification, object recognition, and semantic segmentation.- Collaborate with a dedicated, passionate team of AI experts to deliver innovative solutions that meet client needs and drive business success.

- Develop an end-to-end pipeline from data collection, data analysis to data storage solving Natural Language Processing for company annual reports- Extract important information about the business overview and financial performance of companies in fiscal years- Cooperate with industry and academic advisors for better data understanding and utilization- Technologies and Tools: spaCy, CNN, LSTM, Python, SQLite, Flask

• Developed full-stack website applications for crowdfunding project contains User Interface and admin dashboard• Worked together with the business development team to design the products from scratch and understand the market requirement including information aggregation and database management• Technologies and Tools: Figma, React, GraphQL, Node.js, PostgreSQL

- Team leader of the group four undergraduate students to tackle a 2-month online coding challenge- Participated in bigdata competitions very week hosted on Kaggle range from data analytics to data science

- Analysed the small RNA sequencing results to identify new features thatcontribute to cleavage site choice of Microprocessor- Visualized data obtained from the previous study and experiment, thenclassified them by features and offered predictions base on theirperformance.