Hugo Lin

Software Engineer

  Taiwan

Inventive Computer Science student with independent projects experience. Actively seeking a full-time cloud/software developer position.

Interest Focus on: Distributed System, Operating System, High Performance Computing, System Design and System Optimization.

Courseworks: Applied Parallel Programming, Advanced Memory & Storage Systems, High Frequency Trading, Principles of Blockchain, Computer Security, Data Management in the Cloud, Operating System Implementation

 

Experience

Production Engineer Intern  •  Meta

May 2022 - Present

Data Infra team
Our team build a global, high throughput, low latency resource management and job execution service that enables users to run a variety of Analytics and ML applications spanning across regions and million machines

• Onboard Container Test Library from scratch, aim to provide robust, low latency, container service to internal users

• Container Test Library provide basic smoke test suite, and advanced stress test suite which includes multiple CPU, RAM, I/O, Storage, and Throughput stress tests

• Improved container test deployment efficiency by replacing time-consuming & manual overhead around creating and managing the process; integrated with Meta’s internal infra service to be run as part of daily releasing test

• Developed Unit Testing for library with more than 85% test coverage, ensuring a reliable engineering environment

• Took ownership of library and launched the service within 10 weeks with detailed Wiki and multiple presentations

Software Engineer  •  Super Micro Computer, Inc.

Oct 2020 - Dec 2020

• Developed automation system for motherboard testing by Linux/UEFI tools

• Overhauled a system by refining code and debugging test failure, leading to saving 25% of program runtime

• Contributed to GitLab CI/CD workflows to improve test reliability and scalability, saving 5 hrs/week for QA team

Software Engineer  •  NCKU, National Cheng Kung University

Jun 2017 - Jan 2019

• Predicted potential Dementia level by users’ daily walking path by self-developed Android App

• Developed Machine Learning model(Mobilenet V1) for Dementia level prediction with 90% accuracy

• Validated by physicians at NCKU Hospital, achieving 30% reduction in early diagnosis cost

• Received Ministry of Science Technology(Taiwan) grant amount 20,000+ applications

Education

2021 - 2022

University of Illinois at Urbana-Champaign

Master of Engineering in Electrical & Computer Engineering

2016 - 2020

National Cheng Kung University

Bachelor of Science in Biomedical Engineering

Skills

Programming


  • C/C++, Golang, Python, Java, JavaScript, Rust
  • HTML, CSS, Shell Script, MySQL

Computer Skills


  • Linux/Unix, GDB, Git, Docket, Kubernetes, AWS EC2
  • Android, Arduino, MATLAB, Tensorflow, Firebase