About Myself

👋 Hi, I’m @leeqi10

👀 I’m interested in Java

🌱 I’m currently learning Java Spring, MyBatis-Plus, Vue, Docker, Element, Spring Boot, and so on.

💞️ I’m looking to collaborate with excellent professionals

📫 How to reach me: QQ: 447789814. I am looking forward to your contact.

Hello, I am learning Java. I hope that I can be an excellent professional.

| | | | --------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------ | | | |

My Skills

1. Java Technology Stack: Proficient in Java syntax and common collection frameworks; have an in-depth grasp of multi-threaded programming, JVM memory model (GC mechanism, class loading principle) and class loading mechanism.

2. Design Patterns: Familiar with common design patterns such as singleton pattern, factory pattern, strategy pattern, chain of responsibility pattern, and observer pattern.

3. Databases: In-depth understanding of MySQL index optimization (B+ tree principle), transaction mechanism (ACID properties, isolation levels) and underlying principles of database engines; master Redis in-memory database basic types and persistence strategies (RDB/AOF).

4. Frameworks and Middleware: Skilled in using Spring Boot development mode and understanding the automatic assembly mechanism; have experience in distributed development and microservice development, and master the Arthas performance diagnosis tool.

5. Big Data and Cloud Services: Familiar with Alibaba Cloud data warehouse architecture, have experience in data BI operations, archiving and SQL optimization capabilities; master ETL tools such as Kettle and DataWork.

What I am doing that is .....

I am good at

• HTML & CSS

• JavaScript/TypeScript

• Java&Spring Boot

• Redis

• Vue

My Work Experience.......

Company: Chengdu Xintong NetEase Medical Technology - His Department - Java R&D Engineer

Period: 2024.07 - Present

• System Reconstruction: Reconstructed the paperless system based on the Ruoyi scaffolding, added functions such as CPU monitoring, general permission management, interface current limiting, and anti-repeat submission. The system response speed increased by 300%, which was well received by the hospital.

• Tool Development: Handwritten a code generator to automatically generate repeated code blocks such as foreign key mappings, reducing the team's repetitive development workload by 50% and improving R&D efficiency by 40%.

• AI Application: Built the company's internal knowledge base AI based on the Dify platform to realize automatic document retrieval, shortening the time for employees to query information from 5 minutes to 10 seconds.

Company: Hangzhou Public Transport Cloud Technology Co., Ltd. - Development Application Department - Java Intern

Period: 2023.09 - 2024.06

• Data Visualization Optimization: Proposed a data indicator configuration scheme for the cockpit large screen, solved the problem of big data scheduling delay, and was recognized by the Public Transport Group and municipal leaders.

• Project Reconstruction: Responsible for the reconstruction of some businesses in the DXT and BUSP projects, solving data inconsistency and migration problems, with a data migration accuracy rate of 100%.

• Project Delivery: Participated in the development of the Tiger Leap Project, assisted the product manager in completing the project 3 weeks in advance through task splitting and successfully recovered the balance.

My Education Experience.....

I studied at Xihua University.

Period: 2020.09 - 2024.06

Major: Software Engineering, School of Computer and Software Engineering

My Project Experience

1. Paperless Medical Record Management - Backend Architecture Design

   Period: 2024.07 - Present

   Technology Stack: Spring Boot + Ruoyi + MySQL + FastDFS + Kettle + Jacob Framework

   Project Description: To address issues such as high module coupling, poor performance, and insufficient hardware compatibility in the old system, a new generation of electronic medical record system was reconstructed and developed to support the electronic processing of over 1,000 medical records per day in tertiary hospitals.

   Key Contributions:

• Architecture Upgrade and Efficiency Breakthrough: Built a 前后端分离 architecture based on the Ruoyi framework, reducing module coupling by 40% and shortening the new function development cycle from 2 weeks to 5 days (a 30% reduction); Introduced FastDFS distributed file storage to realize second-level upload of medical record files over 20MB, supporting 12,000 files stored daily and solving traditional storage performance bottlenecks.

• Performance Optimization and Concurrent Enhancement: Designed a multi-threaded parallel processing engine to optimize the medical record entry interface: response time reduced from 1500ms to 240ms (an 84% optimization), and concurrency capability increased by 5 times; Optimized over 120 slow SQLs, with complex query speeds increased by 5-10 times, slow query volume decreased by 85%, and the overall system throughput significantly enhanced.

• Data Synchronization and Consistency Assurance: Led the "Kettle + Custom Fallback Strategy" solution to realize million-level data synchronization of pdf table data, with data loss rate reduced from 8% to 0.01% through incremental extraction, breakpoint resumption, and data verification; Designed a "local transaction + MQ asynchronous compensation" mechanism to solve cross-module data consistency issues: transaction rollback success rate reached 99.8%, and monthly failures reduced from 30 to 2 (a 93% reduction in failure rate).

• Hardware Docking Technology Breakthrough: Realized Java-C++ cross-language docking of 6 hardware devices (such as card readers) based on the Jacob framework, shortening the docking cycle from 4 weeks to 1.5 weeks (a 62.5% reduction), with a code reuse rate of 80%, becoming the company's hardware docking standard solution.

1. Public Transport Cloud - Line Network Simulation - One of the Backend R&D Leaders

   Period: 2023.12 - 2024.01

   Technology Stack: Spring Boot 2.6 + Dubbo 2.7 (service governance) + PostgreSQL 13 (table partitioning) + DataWorks (ETL) + Apollo (configuration center)

   Project Description: The Public Transport Group needed to realize passenger flow monitoring and line planning based on Ant Group's passenger flow data and bus card swiping data.

   Key Contributions:

• Table Partition Design and Historical Data Query Optimization: For the passenger flow history table with over 20 million records, designed a "partition by month (YYYYMM) + table sharding by line ID" strategy (e.g., passenger_flow_202301_01 table), combined with PostgreSQL partition pruning technology, shortening the query time of 3-year-old historical data from 10s to 800ms and supporting high-frequency historical data retrospective analysis.

• Dubbo Service-oriented Architecture Decoupling: Introduced Dubbo to realize remote service calls with the user center (permission authentication, user portrait acquisition), replacing the original hard-coded HTTP interface, reducing system module coupling by 50% and shortening the new service access cycle from 3 days to 1 day.

1. UCDT After-sales Management System - Backend Development

   Period: 2022.12 - 2023.06

   Technology Stack: Spring Boot 2.5 + Oracle 12c (main database) + SQL Server 2019 (client database) + Quartz 2.3 (distributed task scheduling) + MyBatis (data persistence)

   Project Description: Aifake Co., Ltd. needed an after-sales management system.

   Key Contributions:

• Heterogeneous Database Synchronization Architecture Design and Implementation: Designed a "main database (Oracle) + client database (SQL Server)" distributed architecture, with the main database storing core task data (task templates, organizational structure) and the client database storing branch local data (task execution records, check-in logs), reducing the main database pressure by 50%.

• Task Management and Mobile Function Development: Developed a task life cycle management module covering task creation (supporting Excel batch import), mobile application (App submission of task requirements), dynamic changes (real-time adjustment of task responsible persons/deadlines), and progress tracking (Gantt chart visualization), increasing task flow efficiency by 30%.

Myself Evaluating

1. Cheerful and easy-going, able to adapt to new environments quickly, mastering the Dify platform within 3 months and independently completing the construction of the company's knowledge base AI.

2. Strong learning ability and outstanding pressure resistance, having completed the delivery of the Tiger Leap Project in advance; high work efficiency, able to deliver high-quality results within the specified time.

3. Open-minded, able to get along well with others and have a sense of teamwork.