I'm a Graduate Researcher at Zhejiang University 🎓, specializing in Super-Resolution and Transformers under the guidance of Prof. Zou in the CAD Group Research 🔬. I am deeply passionate about deep learning 🤖, NLP 🧠, computer vision 👀, and data science 📊. My internship experiences at Alibaba 🏢 and J.P. Morgan 💼 have helped me develop expertise in backend optimization, AI, data management, and model deployment 🚀.

• AI Research: Investigating cutting-edge techniques in Super-Resolution 🔍, Transformers ⚡, Generative Models (GANs, Diffusion) 🌀, and Reinforcement Learning 🎮.
• Machine Learning: Building and deploying scalable ML systems 🧑‍💻, focusing on Super-Resolution, Time-Series Forecasting, Recommendation Systems, and Natural Language Processing (NLP) 🤩.
• Data Science: Developing data pipelines, data visualization, and model evaluation tools 🧠 to make informed business decisions based on real-world data 📊.
• Backend Development: Working on server-side development, API design, and database management to support data science applications and machine learning models in production 💻.

• Super-Resolution with Triple Attention: Enhancing image super-resolution 📷 using a Triple Attention Mechanism 👁️👁️👁️ for faster and more accurate results.
• Adapting ESRGAN for Enhanced Super-Resolution: Improving the ESRGAN architecture 🖼️ for better super-resolution 🌟 performance.
• GeoVis: A tool for data visualization 🧮 and computational geometry 🔺, allowing interactive exploration of geometric shapes and algorithms for better insights and decision-making.
• ImageMosaic: Working on image mosaicking 🖼️ and homography estimation 🔄 to generate seamless panoramic images 🌍.
• EdgeSeg: Developing edge detection ✂️ and image segmentation 🧩 algorithms to enhance image understanding 🧠.
• TriAttNet: Building a Triple Attention Mechanism 🔺 for super-resolution models, optimizing the learning process to enhance image quality across multiple domains like medical imaging, satellite imaging, and e-commerce product photos 📸.

• Custom DNS Client and Server in Python: Building a DNS system with both client and server components, implementing caching and query handling for enhanced performance 🌐.
• Distributed Key-Value Store in C++: A custom key-value store built using C++, incorporating multithreading and sockets for scalability and efficiency ⚡.
• Backend for Real-Time Chat Application: Designing a real-time chat application backend using Python with MongoDB for message storage and managing private/group chat features 💬.

• Languages: Python 🐍, C/C++ 💻, Java ☕, SQL 🗃️
• ML Frameworks: PyTorch 🔥, TensorFlow 💡, Hugging Face 🤗, Scikit-Learn 🧠
• Tools & Technologies: Git 🦸‍♂️, Docker 🐳, AWS ☁️, Google Cloud 🌩️, Kubernetes 🚀, Docker Compose 🐋
• Data Science: Pandas 🧑‍💻, NumPy 📊, Matplotlib 📈, Seaborn 🔍, SQL for Data Analysis 🗃️
• Backend: Flask 🐍, FastAPI ⚡, Node.js 💻, Express.js 🚀, PostgreSQL 🗃️, MongoDB 🌳
• Deployment: CI/CD with Jenkins 🚀, Model Deployment with Docker and AWS EC2 ☁️

• LinkedIn: linkedin.com/in/anthonyhuang1909 🌐
• GitHub: github.com/anthonyhuang19 🖥️
• Personal Website: anthonyhuang19.github.io 🌍

Feel free to explore my work and collaborate on exciting projects! 🚀🌟