"Code is like humor. When you have to explain it, it's bad." – Cory House
I'm a passionate Software Engineering student at Sichuan University with a deep fascination for artificial intelligence and real-time systems. My journey in tech is driven by curiosity, innovation, and the desire to build intelligent solutions that make a real impact.
🎯 Current Focus:
- 🎓 3rd Year Software Engineering student at Sichuan University
- 🔬 Specializing in AI/ML, Data Analysis, and Distributed Systems
- 🤖 Building intelligent systems with PyTorch, TensorFlow, and Real-time Processing
- 🧪 Exploring Computer Vision, NLP, and High-Performance Computing
💡 What I'm Working On:
- 🚗 Autonomous Vehicle Data Pipelines using Kafka & AWS
- 🧠 Neural Network optimization and deployment
- 📊 Large-scale data processing and visualization
- 🔄 Real-time streaming systems and microservices
🔥 Core Technologies
Programming Languages:
AI/ML & Data Science:
Backend & Databases:
Cloud & DevOps:
Tools & Environment:
🔄 Active Workflows:
- 🔨 Python CI/CD - Multi-version testing, linting, and Docker deployment
- 📝 README Automation - Daily updates with latest blog posts and activity
- 📊 Profile Metrics - Automated GitHub statistics and achievements tracking
- 🔍 Security Scanning - CodeQL analysis for vulnerability detection
✨ Automation Features:
- ✅ Multi-environment testing (Python 3.8-3.11)
- ✅ Code quality enforcement (Black, isort, flake8)
- ✅ Automated security vulnerability scanning
- ✅ Docker image CI/CD pipeline
- ✅ Dynamic README updates with latest activity
- ✅ Performance monitoring and benchmarking
- Neural Network Optimization - Custom implementations of CNN and RNN architectures using PyTorch
- Computer Vision Pipeline - Real-time object detection and tracking with OpenCV and TensorFlow
- NLP Sentiment Analysis - Multi-language sentiment classifier with 94% accuracy
- Vehicle Data Pipeline - Real-time data ingestion and processing using Apache Kafka and AWS Kinesis
- Sensor Fusion System - Integration of LiDAR, camera, and GPS data for autonomous navigation
- Predictive Maintenance - ML models for vehicle component failure prediction
- Distributed Analytics Platform - Scalable data processing with Apache Spark and Hadoop
- Real-time Dashboard - Live data visualization using Kafka Streams and React
- ETL Optimization - Performance-tuned data pipelines reducing processing time by 60%
