Experienced in software project management, capable of effectively planning, executing, and monitoring projects, and collaborating seamlessly with team members to ensure timely delivery and achievement of project goals.

• Familiar with software methodologies such as Agile and iterative development, able to efficiently manage project progress, risks, and quality.
• Proficient in LaTeX writing skills, capable of using LaTeX templates to create documents, and skilled in software modeling to design development solutions.
• Experienced with version control tools like Git and SVN, as well as platforms like GitHub and GitLab, able to effectively manage code versions and team collaboration.
• Skilled in using project management tools (e.g., Trello) to ensure efficient collaboration within project teams.

Proficient in modern web development with strong expertise in toolchains and ecosystems, and hands-on experience in leading projects.

• Expert in ES6 and modern ECMAScript standards with advanced JavaScript knowledge.
• Skilled in TypeScript for maintainable and scalable development.
• Experienced in debugging tools, testing frameworks(jest, ava and so on) for efficient troubleshooting.
• Proficient in deploying and operating major frontend frameworks.(Reactjs, Vue, Node/Bun, TailwindCSS and other popular frameworks.)
• Have own aesthetic theory and style for UI/UX Designing.

Specialized in backend development, building scalable server-side applications with modern frameworks and tools.

• Experienced in popular backend framework(Nest.js, SpringBoot and DotNet) for high-performance architecture and RESTful APIs.
• Proficient with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB) databases.
• Skilled in authentication and security measures, including JWT and OAuth.
• Familiar with cloud platforms for scalable and reliable deployments.
• Experienced in Docker and CI/CD for streamlined workflows.

Extensive experience in Linux operation, ensuring system performance, security, and availability.

• Proficient in Linux command-line tools for user and system management.
• Skilled in web and application server configuration (Apache, Nginx).
• Experienced in automating tasks with shell scripts and tools like Ansible or Python.
• Knowledgeable in database setup, backup, and performance tuning on Linux systems.
• Familiar with system monitoring tools like PM2, and security best practices.

Proficient in developing desktop applications with Electron and C#.NET, focusing on intuitive and responsive UIs.

• Skilled in Electron for cross-platform desktop application development.
• Experienced in C#.NET (WinForms, WPF) with strong MVVM design patterns.
• Proficient in integrating RESTful APIs to enhance application functionality.
• Experienced in data binding and state management in WPF applications.
• Familiar with application packaging and deployment processes.

Experienced in database management with a focus on design, optimization, and data integrity.

• Proficient in MySQL, PostgreSQL, and SQLite for efficient database design and query optimization.
• Skilled in Prisma ORM for type-safe database interactions in TypeScript.
• Experienced in ORM frameworks usage(Knex.js, MyBatis, Prisma) for dynamic query building and migrations.
• Familiar with database management tools like Navicat and DataGrip.
• Knowledgeable in data backup and recovery strategies.

Machine Learning is the core technology in the field of Artificial Intelligence, encompassing a wide range of applications from traditional algorithms (e.g., decision trees, SVM) to deep learning (e.g., convolutional neural networks, Transformers). My interests in Machine Learning are mainly focused on the following areas.

• Model OptimizationResearch efficient training methods and algorithmic improvements to enhance training speed and prediction performance.
• Transfer LearningExplore how to efficiently apply pre-trained models to small-sample datasets and address low-resource issues.
• Application ExplorationApply machine learning techniques to real-world scenarios (e.g., financial analysis, image processing) to solve complex practical problems.

NLP is the key technology for computers to understand and generate human languages, with rapid developments in areas such as language modeling, machine translation, and text generation. I plan to combine deep learning techniques to master the training and optimization of language models and explore NLP applications in multilingual and cross-lingual scenarios. Meanwhile, I will accumulate relevant experience through competitions and research projects.

• Chinese NLPExplore text processing in low-resource language environments, optimizing tokenization, syntactic parsing, and named entity recognition (NER) for Chinese scenarios.
• Sentiment Analysis and Knowledge ExtractionApply NLP to practical problems such as social media sentiment analysis and structured information extraction.

Data Mining is a technology for extracting valuable information from large-scale data, widely used in recommendation systems, social network analysis, and business decision support. I plan to systematically learn data mining algorithms and related tools (e.g., Spark, Hadoop) and master key skills such as data preprocessing, feature extraction, and pattern discovery through practical projects, providing support for further in-depth research.

• User Behavior AnalysisDiscover meaningful patterns from user behaviors to support personalized recommendation systems.
• Recommendation System DesignStudy the principles and implementation methods of recommendation algorithms and explore technical approaches to personalized recommendations.
• Knowledge Graph ConstructionExtract entities and relationships from structured and unstructured data to build intelligent information systems.