Multi-Cloud Platform Team
Enhanced SaaS multi-cluster management solutions' rapid upgrade success rate by 16% through Hyper-Converged Infrastructure with VMware Cloud Foundation (VxRail, ranked #1 globally). Improved Upgrade Lifecycle Management stability to 84% using Docker and Kubernetes (RKE2). Achieved 90+ customer satisfaction by resolving over 50 issues with EFK, conducting root cause analyses, and working with global teams. Proposed four patents to optimize product performance using LLM and Logging Tracking (e.g., LocalGPT, RNN), with one currently being filed.

Full-Stack Team
Developing two customized web services for Mentorship System by leading eleven people (4*Frontend, 7*Backend), prioritizing project alignment with timelines and budgets, and creating backend serverless architecture, APIs, and DB schema based on AWS and FastAPI/React.

Synergy Network Test Team
Elevated manual testing efficiency by 30% through achieving a test automation tool to verify server adapter networking functions (Ethernet, iSCSI, etc.) in OS servers (Windows, Red Hat, CentOS, VMware).

Robotics and Automatic Control Lab

• Visiting Researcher at Tsinghua University in Beijing, China (Aug 2020 - Jan 2021).
• Published 6 IEEE Conference and Journal Papers.
• Won 3 National Project Competition Prizes.

Automotive Development Team
Increased collaboration satisfaction with Toyota by creating a diagnostic tool application to monitor in-vehicle hardware on the Qualcomm Platform. Implemented Radio UI for 9-inch and 12-inch devices and a internal logging service that received positive feedback from 10+ engineers. Integrated media services (YouTube, KKbox), designed an automatic encryption mechanism, and utilized CI/CD with Gerrit and Jenkins. My manager praised my timely delivery and high-quality work, including developing five features and solving five critical issues within three months.

Machine Learning Engineer

AI Research
Collaborating with porcine geneticists to manage 3+ projects of customized systems for pig farms, developing a ML-based detection model for identifying pig behaviors using YOLOv7 and VideoMAE, deploying and maintaining the system, and contributing to publications.

Mail Security CoreTech Team
Identified fraudulent emails with 94% accuracy by designing three algorithms (Rule-based, LR, CNN) and extracting features from the transmission mechanisms in a dataset of 4.5 million emails.

BSc in Electronic and Computer

• Exchange Program to Cebu, Philippine.
• Won the Outstanding Youth Award (Top 1%).
• Won 6 National Project Competition Prizes.
• Piano Club activity organizer.