Career Positioning
AI Engineer
Focused on developing AI systems that combine computer vision, NLP, and multimodal learning.
- Computer Vision & NLP Integration
- PyTorch & TensorFlow Development
- Model Optimization & Deployment
Full Stack Developer
- Flutter & Vue.js Frontend
- Spring Boot & FastAPI Backend
- Microservices Architecture
Data Scientist
Applying mathematical modeling and data analysis to solve real-world problems.
- Mathematical Modeling
- Data Analysis & Visualization
- Algorithm Optimization
Core Competencies
🤖 AI & Computer Vision
Expertise in developing sophisticated AI systems with practical applications:
- Multimodal AI Systems: Developed VISTA, an advanced assistive technology platform integrating computer vision, NLP, and sensor fusion for visually impaired users.
- Computer Vision: Implemented a robust license plate detection system combining traditional CV methods (HSV color space, Sobel edge detection) with deep learning (YOLOv8).
- AI Integration: Created I2T Magic, featuring image-to-text conversion and intelligent image search using vector embeddings.
💻 Full Stack Development
Comprehensive experience in building end-to-end applications:
- Backend Development:
- Designed and implemented FastAPI-based backend for VISTA with real-time processing capabilities
- Built Spring Boot microservices for the Campus Second-hand Trading Platform
- Frontend Development:
- Created cross-platform mobile applications using Flutter (VISTA, I2T Magic)
- Developed WeChat Mini Programs for the Digital Night Market Platform
🎯 Algorithm Design & Optimization
Strong foundation in algorithmic problem-solving and optimization:
- Mathematical Modeling:
- First Prize in 2024 CUMCM for spiral motion modeling
- Third Prize in 2023 CUMCM for solar mirror optimization
- Algorithm Optimization:
- Enhanced Sobel edge detection algorithm for license plate detection
- Implemented genetic algorithms for robot dispatch optimization in Huawei competition
Technical Skills
Programming Languages
- Python: FastAPI, NumPy, OpenCV, Deep Learning
- Dart/Flutter: Cross-platform mobile development
- C++: Algorithm implementation, optimization
- JavaScript: Vue.js, WeChat Mini Program
- Java: Spring Boot microservices
Frameworks & Tools
- Backend: FastAPI, Spring Boot, Node.js
- Frontend: Flutter, Vue.js, WeChat Mini Program
- AI/ML: PyTorch, TensorFlow, OpenCV
- Databases: MySQL, PostgreSQL
- DevOps: Docker, Git, CI/CD
Development Skills
- System Design: Microservices, API design
- Performance: Algorithm & system optimization
- Testing: Unit testing, integration testing
- Documentation: Technical writing, API docs
Leadership & Soft Skills
Project Leadership
- Team Leadership: Led a team of 6 developers in the Digital Night Market Platform project, coordinating between frontend, backend, and IoT teams
- Project Planning: Developed project timelines, allocated resources, and managed deliverables for multiple successful projects
- Stakeholder Management: Coordinated with clients, vendors, and team members to ensure project success
Collaboration & Communication
- Cross-functional Collaboration: Worked effectively with designers, developers, and business stakeholders across multiple projects
- Technical Documentation: Created comprehensive documentation for VISTA and Campus Trading Platform, including API specs and system architecture
- Knowledge Sharing: Conducted technical workshops and code reviews to improve team capabilities
Problem Solving & Innovation
- Analytical Thinking: Applied mathematical modeling to solve complex problems in competitions and real-world projects
- Creative Solutions: Developed innovative approaches for VISTA's multimodal system and I2T Magic's AI features
- Research Methodology: Conducted systematic research and analysis for algorithm optimization and system improvements