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Hi I'm Jiahao Huang, your friendly neighborhood code wizard! 🧙‍♂️

👨🏻‍💻 As a Software Engineer, I don't just write code—I craft digital masterpieces!
🎨 I believe in infusing creativity and humor into every project, making the development process a joyful adventure
🌍 Based in the vibrant city of SINGAPORE
✉️ Catch me if you can at [email protected]
🎓 My Educational Odyssey:
     2023 - 2025: National University of Singapore - Where I'm leveling up my coding superpowers! 💪
     2019 - 2023: Northwest A&F University - The place where my passion for programming blossomed! 🌸
🧠 Currently Geeking Out On:
    👾 Advanced Software Development - Because there's always room for improvement!
    🤖 Large Language Model (LLM) Integration and Applications - Chatbots need love too, right?
💻 Passionate about building scalable and efficient software systems
🔭 Exploring cutting-edge technologies and industry best practices
🌱 Continuously learning and expanding my skillset
💬 Collaborative coding enthusiast, always open to new challenges!
⚡ Fun Fact: When I'm not coding, you can find me swimming 🏊‍♂️ and playing table tennis 🏓

🌐 Socials

💻 Tech Stack:

C C++ C# CSS3 HTML5 Java JavaScript LaTeX Markdown Python PowerShell TypeScript Windows Terminal AWS Google Cloud Oracle GithubPages Ant-Design Vite Qt React Apache Apache Airflow Nginx MySQL MongoDB Redis NumPy Matplotlib Pandas PyTorch scikit-learn TensorFlow Keras Scipy Plotly APACHEKAFKA Docker

📊 GitHub Stats:



🏆 GitHub Trophies

✍️ Random Dev Quote

Jiahao Huang's Projects

awesome-deeplearning icon awesome-deeplearning

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

bytetrack icon bytetrack

[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

markdown-resume-template icon markdown-resume-template

BAT程序员自己的简历模板分享出来了 。技术简历追求简单明了，避免没有必要的花哨修饰，大家可以fork到自己仓库中，基于这个模板进行修改。

paddlevideo icon paddlevideo

Comprehensive, latest, and deployable video deep learning algorithm, including video recognition, action localization, and temporal action detection tasks. It's a high-performance, light-weight codebase provides practical models for video understanding research and application

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