- ๐ฌ Research Focus: Large Language Models (LLMs) and AI Systems
- ๐ง Expertise Areas: Machine Learning, Deep Learning, Natural Language Processing
- ๐ ๏ธ Tech Stack: PyTorch, CANN, Transformers, Ray, Model Serving
- ๐ Current Learning: CANN (Compute Architecture for Neural Networks) and PyTorch
- ๐ค AI/ML Projects: Building intelligent document retrieval systems with Qwen3 models
- ๐ Semantic Search: Developing hybrid retrieval systems combining embedding and reranking
- ๐ Deep Learning: Exploring neural architectures and model optimization
- ๐ AI Applications: Creating practical AI solutions for real-world problems
- Machine Learning: Supervised/Unsupervised learning, model training & evaluation
- Deep Learning: Neural networks, transformers, model fine-tuning
- Artificial Intelligence: LLMs, NLP, computer vision, AI system design
- MLOps: Model deployment, serving, monitoring, and optimization
- CANN: Huawei's Compute Architecture for Neural Networks
- PyTorch: Deep learning framework and ecosystem
- Advanced ML: Model compression, quantization, and optimization techniques
I'm passionate about collaborating on:
- ๐ค AI/ML Research: Novel approaches in machine learning and deep learning
- ๐ฌ Open Source Projects: Contributing to the AI/ML community
- ๐ Innovative Solutions: Building cutting-edge AI applications
- ๐ My Dream: Creating impactful AI systems that benefit society
- Programming: Python, C++, CUDA
- ML/DL Frameworks: PyTorch, TensorFlow, Hugging Face Transformers
- AI/ML Tools: Ray, ModelScope, OpenAI API
- Infrastructure: Docker, Kubernetes, Cloud Platforms
- Specialized: Qwen3 Models, Embedding Systems, Reranking Algorithms
- ๐ง Email: owner@zhangjincheng.email
- ๐ GitHub: @SanroZhang
- ๐ผ LinkedIn: [Your LinkedIn Profile]
- ๐ฆ Twitter: [@YourTwitterHandle]
Building the future of AI through innovative machine learning solutions, deep learning research, and practical artificial intelligence applications that make a real difference in people's lives.