Shu's Resume

Download Shu's full CV ๐Ÿ“ฅ

Education

  1. University of Helsinki๐Ÿ“ Helsinki, Finland

    Master of Science in Computer Science (Networking)๐Ÿ—“๏ธ Sep. 2023 โ€” Jun. 2025

    Full Scholarship Recipient

    • Key Courses: Network Protocol Analysis, IoT Data Science, Network AI Systems, Computer Vision, Edge Intelligence & LLM

  2. Jilin University๐Ÿ“ Changchun, China

    Bachelor of Science in Computer Science๐Ÿ—“๏ธ Sep. 2015 โ€” Jun. 2019

Professional Experience

  1. Eficode, Fuji Team๐Ÿ“ Helsinki, Finland

    Full Stack Developer Intern๐Ÿ—“๏ธ Apr. 2024 - Sep. 2024

    • Developed and maintained a web accessibility monitoring project using Puppeteer and BullMQ for web scraping and task processing.
    • Designed and implemented WebSocket server deployment with distributed scaling in Kubernetes, handling timeout reconnections and backend service authentication.
    • Used Pulumi for Infrastructure as Code (IaC) to automate Azure resource provisioning and scaling, ensuring high availability and elasticity.
    • Gained expertise in WCAG (Web Content Accessibility Guidelines) compliance, implementing and testing WCAG 2 rules.

  2. Inspur, Medical Data Platform Department๐Ÿ“ Jinan, China

    Software Engineer๐Ÿ—“๏ธ Aug. 2021 - Jun. 2023

    • Developed key business interfaces, including contact tracing report submission and venue code scanning, using Kafka for load balancing to ensure system stability.
    • Optimized venue code system performance through horizontal partitioning, read-write separation, and cold-hot data separation.
    • Developed WeChat Mini Program and public account frontend, implementing login, scanning, and caching mechanisms for improved performance.

Projects

  1. Laundry Bot - Smart Laundry Booking System๐Ÿ“

    Inspired by the apartment's needs, I conceived, designed, and developed the entire system, with 80% user adoption and 30% active engagement๐Ÿ—“๏ธ

    • Designed and implemented a serverless laundry booking automation system using AWS Lambda, Apify, and CockroachDB for data collection, storage, and management.
    • Integrated OpenAI API for natural language interactions, enabling users to book, query, and manage reservations via a Telegram bot.
    • Leveraged AWS EventBridge for automated booking handling and S3 for raw data storage, implementing a multi-level notification system.

  2. Edge-LLM - Edge LLM-driven Network Adaptive Optimization System๐Ÿ“

    Extended development from a course hackathon๐Ÿ—“๏ธ

    • Developed an adaptive distributed network system using edge devices, integrating federated learning and traffic optimization strategies to enhance communication efficiency.
    • Utilized TensorFlow Lite and MQTT for low-power edge model training and high-efficiency device communication.
    • Deployed lightweight LLM with LlamaFile to analyze traffic data and dynamically optimize hyperparameters for improved training efficiency.

Skills

  1. Development Tech Stack

    • Backend: Java, Python, Node.js, Spring Boot, Express
    • Frontend: TypeScript, JavaScript, React, Next.js, Vue.js, Tailwind CSS
    • Tools: Git, GitHub Actions, Bitbucket, Jenkins
    • Cloud & Containerization: Docker, Kubernetes, AWS, Azure (Azure Developer Associate Certified)