Work Experience

Data Scientist

Followed the Agile project management methodology and worked on the SmartOCR project, which assists the Admission Office in extracting useful information (e.g., course name, grade, credit) from high school transcripts
Integrated human expertise that high school transcripts include at least four tables, mitigating senior table dropout error caused by the prevalence of in-progress courses, which often include only course names
Leveraged HuggingFace DistilBERT for sequence classification and achieved 98% accuracy in classifying table rows as course-related or not; Optimized the model for faster inference through a Custom Configuration
Led the migration to Amazon Web Services (AWS) for end-to-end machine learning model development, training, and deployment; Utilized AWS Sagemaker, EC2, and S3 to streamline and enhance the process

Worked in the Object Detection Department for AutoDrive Challenge II
Explored high-definition (HD) maps used in autonomous driving and converted them into a database; Designed and implemented algorithms based on HD maps for the highway challenges in Python and PostgreSQL
Communicated with other departments to test the correctness and performance of the developed algorithms
Gave Alpha, Beta, and final prototype presentation; Co-authored Statement of the Work Report and Final Report