I am a motivated graduate student at the University of California Riverside, currently pursuing my M.S. in Computer Science with a strong foundation in CUDA, High Performance Computing, and Machine Learning. With a background in Data Science and Economics from China Agricultural University, I have developed expertise in parallel programming, networking, and backend development. I enjoy designing and implementing scalable software systems and am committed to delivering high-quality, efficient solutions. I have practical experience as a Software Engineer Intern at Datalynn, where I enhanced API performance, optimized data caching, and deployed monitoring tools to reduce incident resolution times. I am passionate about software engineering, continuous learning, and collaboration in agile environments to contribute effectively to technology projects.

Liang Yan

I am a motivated graduate student at the University of California Riverside, currently pursuing my M.S. in Computer Science with a strong foundation in CUDA, High Performance Computing, and Machine Learning. With a background in Data Science and Economics from China Agricultural University, I have developed expertise in parallel programming, networking, and backend development. I enjoy designing and implementing scalable software systems and am committed to delivering high-quality, efficient solutions. I have practical experience as a Software Engineer Intern at Datalynn, where I enhanced API performance, optimized data caching, and deployed monitoring tools to reduce incident resolution times. I am passionate about software engineering, continuous learning, and collaboration in agile environments to contribute effectively to technology projects.

Available to hire

I am a motivated graduate student at the University of California Riverside, currently pursuing my M.S. in Computer Science with a strong foundation in CUDA, High Performance Computing, and Machine Learning. With a background in Data Science and Economics from China Agricultural University, I have developed expertise in parallel programming, networking, and backend development. I enjoy designing and implementing scalable software systems and am committed to delivering high-quality, efficient solutions.

I have practical experience as a Software Engineer Intern at Datalynn, where I enhanced API performance, optimized data caching, and deployed monitoring tools to reduce incident resolution times. I am passionate about software engineering, continuous learning, and collaboration in agile environments to contribute effectively to technology projects.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate

Language

Javanese
Advanced

Work Experience

Software Engineer Intern at Datalynn
August 31, 2024 - August 23, 2025
Delivered 10 REST and gRPC APIs for AI Meeting Copilot and FastGPT handling 1.8K daily calls with 99.9% success. Added Kafka-based asynchronous pipeline that reduced P95 latency by 35% and CPU usage by 25%. Optimized MySQL 8 and Redis Cluster to increase cache hit rate to 92%, reduced database QPS by 3×, and shortened ETL time from 80 to 24 minutes. Deployed Prometheus and Grafana for monitoring, and Resilience4J for service resilience, improving Mean Time To Recovery from 15 to 1 minute and reducing production incidents by 70%. Containerized applications with Docker and Helm; implemented blue-green CI/CD pipelines using GitHub Actions enabling deploys within 5 minutes and rollbacks within 60 seconds. Collaborated in a 6-person agile team, merged 50 pull requests with 85% first-pass success, and authored cross-team design documentation.

Education

M.S. at University of California Riverside
September 1, 2023 - June 1, 2025
B.S. at China Agricultural University
September 1, 2016 - June 1, 2020

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Education