I aim to pursue a career in AI, data science, and machine learning, focusing on algorithmic development, predictive modeling, and decision support systems. My goal is to create innovative, data-driven solutions to tackle real-world challenges.
- NLP & Research: Developed an algorithm for code similarity, leading to a published paper on text similarity at ICCSE2022.
- AI in Finance: Built a parallel web crawler and applied LSTM algorithms to analyze stock data.
- Virtual Try-on System: Awarded Third Prize at the 14th China College Student Service Outsourcing Innovation and Entrepreneurship Competition.
- Large Model RAG: Developed a social network retrieval system using Alibaba's Tongyi Qwen-7B model.
- AI Tools: Proficient in PyTorch, TensorFlow, and scikit-learn.
- Data Analysis: Experienced with pandas, web scraping, and predictive modeling.
- Research: Published on advanced AI topics, including a novel method for fine-tuning Stable Diffusion using LoRA.
- Advanced AI & Mathematics: Delving deeper into multivariate statistics, optimization theory, and deep learning architectures.
- Interdisciplinary Applications: Applying AI to diverse fields like financial analysis and computer vision.