
A Master of IT student specialized in AI, constantly learning and progressing, with a keen interest and passion for exploring CV and LLM.
Dual-major background in Data Science and Computer Science during undergraduate studies, proficient in software development, and possessing unique insights and understanding in Machine Learning, data analysis & processing.
Well-versed in a comprehensive statistical knowledge system and skilled in multiple mainstream programming languages.
• Operated PyTorch on servers, optimized network design and parameter tuning for lightweight models. Performed data augmentation and result analysis.
• Responsible for the iteration of the company’s palm spot detection algorithm, using data augmentation and reinforcement learning techniques to complete the entire process from pre-training to fine-tuning, achieving ideal classification accuracy and high-performance, low-loss dirty data selection on complex raw datasets. Preserved complete training traces and data results for reproducibility and future iterations.
• Conducted manual data review during model training, obtaining representative/hard sample datasets for iteration.
• Participated in the iteration tasks of the company’s palm recognition algorithm.
• Efficiently compiled meeting minutes, reviewed and revised submitted materials, and signed off on certifications.
• Executed general office functions, ensuring effective communication between departments, obtaining timely progress and feedback, and relaying information to the Chairman and decision-makers.
• Assisted in planning the Chairman’s travel itinerary and welcomed visiting guests.
• Researched and compiled comprehensive information on potential target countries for strategic external expansion, including economic, cultural, geographical, and energy demand data, providing valuable insights for the Chairman.
• Participated in a project led by the IT and Biology Health departments during the final stage of undergraduate studies. Designed and implemented a data management website with comprehensive front-end functionality, UI animations, and robust back-end database capabilities. The final product was selected as an outstanding graduation project and showcased at a client-facing investor presentation.
• Received commendation letters for performance in key courses such as statistics and programming.
• Double-majored in Data Science and Computer Science. Achieved top/full grades in projects for Design Patterns (OOP), Machine Learning and other key subjects.
• Participated in two graduation projects due to double-major: 1. Industrial Machine Learning and Data Analysis (Data Science); 2. Web Design and Practice (Computer Science). Both projects were ranked the best in the class and among the top in the discipline.
• Bachelor graduated with high H2A honors.