Profile
ML Researcher and Developer with a strong physics background. Proficient in server operations, algorithm implementation with C++/Python, and Docker containerization. Experienced in academic writing using LaTeX for research papers and technical documentation. Self-motivated learner with a passion for understanding the theoretical foundations of machine learning algorithms.
Education
Focus on theoretical physics and computational methods in physical systems
- CS189 (Berkeley) - Machine Learning
- COS226 (Princeton) - Algorithms and Data Structures
Technical Expertise
- 3+ years of experience maintaining and optimizing Linux servers
- Configured and managed web servers, databases, and application deployments
- Implemented security protocols and monitoring systems for server health
- Experience with cloud platforms including AWS and Tencent Cloud
- Proficient in C++ for algorithm implementation and computational physics
- Python expertise for data analysis, machine learning, and scientific computing
- Developed custom tools for data processing and visualization
- Experience with version control systems and collaborative development
- Deployments of Docker images for reproducible research environments
- Proficient in LaTeX for academic papers, reports, and presentations
- Experience with BibTeX for reference management and citation
- Created custom LaTeX templates for various document types
- Familiar with academic publishing workflows and standards
- Proficient in Unix-Like operating systems including Linux and macOS
- Experience with system administration, shell scripting, and automation
- Familiar with command line tools and package management systems
- Knowledge of system security and optimization practices
- LeetCode/AtCoder beginner - developing algorithm implementation skills
- Practice data structures and algorithm optimization techniques
- Focus on improving problem-solving approaches and efficiency
Projects
ML Realization
Implementation of machine learning algorithms from scratch with visualization tools and reproducible environment.
Technologies: Python, TensorFlow, Docker, NumPy
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Yuque motivated KaTeX printing Notes
Specialized system for generating beautifully formatted academic notes with KaTeX rendering inspired by Yuque.
Technologies: LaTeX, KaTeX, Python, JavaScript
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