2024-12-26

About

Yung-En Lu

Master of Science in Computer Science @ National Yang Ming Chiao Tung University Sep 2024 – Jun 2026

Bachelor of Science in Computer Science and Information Engineering @ National Cheng Kung University Sep 2021 – Jun 2024

Software Engineer Intern @ Trend Micro Jul 2023 – Aug 2023

Worked on the Web Reputation Service team, contributing to the migration of the Web Classify Server (WCS), a legacy service handling 700 million daily classification requests
Cut infrastructure costs by 10% by migrating the WCS legacy service from VMs to Kubernetes
Reduced WCS deployment time by 20% by automating the build and deployment pipeline using GitHub Actions and Helm charts
Designed and implemented a Prometheus metrics exporter for WCS, enabling real-time error detection and reducing reliance on user-reported errors
Optimized the WCS pattern file upload process to reduce desynchronization errors by utilizing S3 storage

Software Engineer @ AInimal Jan 2022 – Jun 2023

Led backend migration from monolith to microservices, reducing the development cycle by 40%
Led development of the gRPC API for backend microservices, increasing backend system fault tolerance
Increased maximum concurrent users to over 5,000 by adopting Golang and NoSQL databases
Wrote unit tests, integration tests and load tests for chat service with over 90% code coverage. Set up GitLab CI/CD to automate testing and building container images
Redesigned the user notification feature and optimized the click-through process, reducing interaction time by 20% and enhancing user experience

Software Engineer Intern @ Intelligent Mobile Service Lab Jun 2022 – Jan 2023

Developed a responsive online judge website using Vue and Vuetify, enhancing the user experience for over 200 students
Optimized website performance by minimizing render times and improving load speeds

Research Assistant @ Software Engineering and Intelligent Test Automation Lab Oct 2021 – Oct 2024

Developed a prompt optimization method for large language models (LLMs) using pairwise feedback, reducing annotation effort by 50% while maintaining performance
Implemented a new screen recording feature for Rapi (web application testing software), enabling local and remote browser recording during test cases which reduced debugging and bug reproduction time by 50%
Built an auto-scalable tool for Selenium Grid (a distributed web testing framework) to record browser screens during test cases, enhancing user insights and test case analysis

Remote Research Assistant @ XR for Intelligent Medicine Lab Dec 2023 – Sep 2024

Developed a customizable LLM-based virtual therapist using LangChain, retrieval-augmented generation (RAG), and prompt engineering, enhancing personalized mental health support
Surveyed and experimented with different evaluation methods to assess the effectiveness of an LLM-based virtual therapist in providing emotional support

Yung-En Lu and Shin-Jie Lee, “Prompt Optimization with Human Annotations Using Pairwise Comparison,” in Proceedings of the IEEE International Conference on e-Business Engineering (ICEBE), 2024, pp. 15–22, doi: 10.1109/ICEBE62490.2024.00012.
Chun-Chuan Chen, Meng-Chang Tsai, Eric Hsiao-Kuang Wu, Shao-Rong Sheng, Jia-Jeng Lee, Yung-En Lu, Shih-Ching Yeh, “Fusion model using resting neurophysiological data to help mass screening of methamphetamine use disorder,” IEEE Journal of Translational Engineering in Health and Medicine, doi: 10.1109/JTEHM.2024.3522356.