Welcome to my space! I'm a learner and developer with an obsession for making creative things that push the limits, whether it's with AI, automation, or decentralized networks. I've been building and exploring tech for over 4 years, diving into everything from data structures, algorithms to machine learning. My toolbelt is mostly Python, JavaScript, and whatever else fits the job.
- π Education: Sophomore at Drew University, B.S. Engineering Dual Degree (Drew + Columbia) in Computer Science.
- π€ Focus: Mathematics, Machine Learning, Large Language Models.
- π Currently working on: AI-powered daily digest system, Basketball Team Manager, LangChain.
- π Interests: Basketball (Former Captain), MBTI (INFJ), and Chess.
- π Live in: Madison, New Jersey, USA | Shenzhen, Guangdong, China
- π Spoken Languages: English, Chinese, Japanese, Spanish
Languages
Frameworks & Libraries
Tools & Platforms
| Project | Description | Tech Stack | Code |
|---|---|---|---|
| ML-SelfLearning | Self-directed machine learning study notes and implementations, covering core ML algorithms and deep learning fundamentals from scratch. | Jupyter Notebook Python PyTorch |
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| Data-structure-and-Algorithms | Comprehensive implementations of classic data structures and algorithms in C++, including sorting, searching, trees, graphs, and dynamic programming. | C++ |
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| Basketball-Team-Manager | Full-stack web app that replaced paper records for the Drew University basketball team. Used in live games and training sessions for real-time stat tracking. | HTML CSS JavaScript |
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| Federated Learning | 8-week research study on privacy-preserving decentralized ML, covering CNN implementations, model compression, whitebox attacks, and the FedAvg algorithm. | PyTorch TensorFlow Python |
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| MCM/ICM 2026 | Mathematical Contest in Modeling competition solutions (2025 & 2026 Problem D) with data analysis pipelines and MATLAB modeling. | MATLAB Python Pandas SciPy |
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| Replication-of-Papers | Reproducing key results from influential ML/AI research papers to deepen understanding of state-of-the-art methods. | Python PyTorch |
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| Kaggle | Collection of Kaggle competition notebooks and exploratory data analysis projects for hands-on data science practice. | Jupyter Notebook Python |
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| Nocturne AI | Experimental AI project exploring creative and specialized agent tasks. | Python AI Agents |
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| IT-Foundations | Structured self-study notes spanning core IT domains: Cloud Computing, Computer Architecture, Database Fundamentals, Networking, Operating Systems, and Virtualization & Containers. | Markdown Cloud Networking OS |
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| Linux | Hands-on Linux learning repository covering system administration (LFCSA prep), Linux basics, and shell scripting for beginners. | Bash Shell Scripting Linux |
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