Curriculum Vitae

Research Interests

My research interests center on machine learning and its practical applications, with a particular focus on the systems infrastructure that supports efficient model development and deployment. I am broadly interested in distributed systems, high-performance computing, and the intersection of compiler design with modern ML frameworks and execution runtimes.

Education

Bachelor of Engineering, Computer Application Engineering
Quanzhou Vocational and Technical University, Quanzhou, Fujian, China
September 2022 – June 2026 | GPA: 80.92/100

Technical Projects

Feas Online Judge (May 2024 – Present)
Independent Developer

A production-grade online judge system for competitive programming, implemented as a Go-based microservices architecture with an emphasis on high concurrency and automated content moderation.

• Designed a Docker container pooling strategy that increased concurrent code evaluation capacity by 500%
• Engineered an asynchronous judging pipeline via RabbitMQ, achieving a four-fold improvement in system throughput and a substantial reduction in queue latency
• Developed and deployed two domain-specific ML models—ImageGuard (image moderation) and ProfanityDetector (text filtering)—reducing content policy violations by approximately 85%
• Implemented a real-time user platform in Vue.js with live submission tracking via Server-Sent Events (SSE) and integrated community forums
• Supports evaluation of solutions in Java, C++, Python, Pascal, Rust, and PHP

Zephyr (June 2023 – Present)
Independent Developer

A cross-platform weather application for iOS and Android, developed with Flutter and a Golang backend service.

• Implemented Redis-based data caching to ensure low-latency access to global weather data
• Designed custom Android home-screen widgets for ambient real-time weather display

View More Projects on GitHub

Professional Experience

Software Engineer Intern
Xiamen Xunlian Information Technology Co., Ltd. (Bitdinosaur Technology Co., Ltd.), Xiamen, Fujian
September 2025 – March 2026

• Engineered a proactive risk-monitoring module in Go, leveraging PostgreSQL views to automatically detect and flag anomalous account and IP behaviors
• Refactored user data access layers, reducing API response latency from approximately 1,700 ms to under 180 ms (>99% reduction)
• Designed and implemented a backend analytics dashboard API providing real-time operational data for internal management and on-chain address risk assessment
• Re-architected notification push, IAM, and subscription systems under a microservices paradigm, improving scalability, maintainability, and feature extensibility

Publications

Research on performance optimization of online evaluation based on Golang and Docker container pool

Linxing Huang. "Research on performance optimization of online evaluation based on Golang and Docker container pool." Chinese Journal of Conputer Application, 2025(18).

Honors & Awards

• Third Prize, Huawei ICT Competition, Programming Track, Fujian Province (2025)
• Third Prize, Huawei ICT Competition, Linux Track, Fujian Province (2023)
• Second Prize, Program Algorithm Design Competition, Quanzhou Vocational and Technical University (2022)

Technical Skills

Programming Languages
Proficient: Go, Dart, Python
Familiar: JavaScript, C++

Frameworks & Libraries
Backend: Flask, RabbitMQ, Consul, Redis, MySQL, PostgreSQL
Frontend & Mobile: Vue.js, React, Flutter
Machine Learning: PyTorch, TensorFlow, Hugging Face Transformers

Systems & Infrastructure
Docker, Linux server administration, Nginx, Git-based CI/CD pipelines