Taiwan
As a data scientist, I am passionate about leveraging AI to solve business challenges, with a specialization in computer vision, deep learning, machine learning-based solutions, and recommendation systems. Recently, my focus has been on developing applications for product recommendations and exploring AI governance tools. My expertise spans data engineering, algorithm development, experiment management, and product management. Known for my quick problem-solving abilities, efficient Python programming skills, and a collaborative mindset, I am committed to driving innovation and impactful AI solutions.
- Collaboratively created a framework for governing ML models and LLMs. Developed integrated software tools for monitoring ML fairness and explaining LLMs. - Optimized face recognition prediction speed, achieving a 20x+ performance increase. - Improved model performance in speaker verification by over 40%. - Established a robust pipeline for speaker recognition, enhancing data mining and preprocessing capabilities, module reusability, and strategy management. - Developed an image processing algorithm to capture objects from data, significantly improving output quality.
In this role, I focused on elevating data quality for 2D monocular object detection. Two core methodologies were devised: utilizing AI and raw algorithms to clean and validate objects, and crafting a visual recognition AI model for object validation. These approaches have enhanced the precision of our detection systems.