Yi Hung Li Email & Phone Number

Taipei City, Taiwan

• Developed over 20 comprehensive automation testing scripts to validate a diverse range of server functionalities, including software, firmware, and hardware components. Demonstrated proficiency in understanding test case design logic and independently crafting and testing automation scripts, resulting in expedited delivery and enhanced quality.• Led a team of 5-10 members in successfully replicating and maintaining a newer BIS compliance version of a legacy test platform. Traced over 100k lines of code to rebuild its core design and established test execution environments comprising 30+ VMs and 10+ servers within a tight deadline of 40-50 days.• Spearheaded cutting-edge research on generative AI, leading to the team's ranking in the top-32 of the 2023 ISG Hackathon and delivery of 5+ knowledge-sharing talks across various teams.• Collaborated with senior management to drive the digital transformation of the global PA business, which spans 500-1000 members worldwide.• Administered global PA business infrastructures, including 3 GitLab instances with 300+ repos and vSAN with 300+ VMs, ensuring seamless operation of core solutions supporting 60% of daily business activities.• Contributed to the development of productivity tools, including data-related microservices with complex data pipelines. These tools serve as primary data sources for a PowerBI dashboard supporting 50+ team members in their daily workflow.

Taipei City, Taiwan

• Institute of Statistical Science

Taipei City, Taiwan

• Served as a Research Assistant for a research project funded by MOST under the guidance of Dr. Hui-Chu Lang at the Institute of Hospital and Health Care Administration, NYCU, and Dr. Chao-Hua Chiu at Taipei Veterans General Hospital.• Led the collection and thorough cleansing of real-world patient datasets from three Veterans General Hospitals, focusing on lung cancer pre-diagnosis. Employed various machine learning models, including SVM, XGBoost, and ANN, incorporating advanced techniques such as over/undersampling, ensemble methods, feature engineering, and text processing. Achieved optimal model performance with a high predictive AUC score of 0.7, showcasing significant promise in predictability.

Taipei City, Taiwan

• Delivered over 15 weekly technical seminar presentations and demonstrations covering a wide range of topics such as RESTful API, NoSQL, Redis, Webpack, among others.• Played a pivotal role in system design, proof-of-concept (POC), backend development, database management, quality assurance, and documentation creation within a dynamic team of 11, contributing significantly to the development of a robust load balancing system.• Demonstrated leadership by guiding and mentoring a group of 50+ interns during the 2020 SYSTEX ELITE INTERNSHIP activity. Garnered 3rd Prize in team performance and 1st Prize in personal performance during the final presentation competition, focusing on a Microservice-related topic.

Master Of Science - Ms, Data Science

• College of Electrical Engineering & Computer Science/Academia Sinica • Co-advised by Institute of Statistical Science, Academia Sinica.

Bachelor Of Science - Bs, Statistics

• College of Commerce • Minor in Management Information Systems (MIS) • GPA: 3.94/4.3 • Courses: Financial Management(A+), Regression.