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fulong98/README.md

Hi there! 👋 I'm Tan Fu Long

Welcome to my GitHub! I am a Software Engineer specializing in Machine Learning Platforms and Algorithms with a strong foundation in Financial Engineering and Electrical & Electronics Engineering. My work is centered around designing scalable systems, optimizing workflows, and solving complex problems using cutting-edge technologies.

👩‍💻 About Me

  • 🔭 Currently: Software Engineer at Shopee, focusing on building high-availability ML platforms.
  • 🎓 Education:
    • M.S. Financial Engineering – National University of Singapore
    • B.E. Electrical & Electronics Engineering – Nanyang Technological University (Highest Distinction | Dean's List AY 20/21 & 21/22)
  • 🌟 Awards & Achievements:
    • Shopee Marketplace Intelligence & Data Best New Hire (2022)
    • 1st Place – Design and Innovation Project (2020), Machine Learning, NTU
    • 1st Place – 5-min AI Video Clip Contest ICIP 2020

🚀 Skills

Programming Languages

  • Python, Golang, JavaScript, C++

Frameworks & Tools

  • React, Gin, Kubernetes, Docker, PyTorch, TensorFlow, PySpark

Languages

  • Fluent in English, Chinese, Malay, and Cantonese

🏆 Highlighted Projects

1. Virtualized GPU Cluster Management System

Tech Stack: Golang, Kubernetes

  • Designed and implemented an auto-scaling virtual GPU cluster, delivering $1M annual cost savings.
  • Result: Optimized resource utilization while achieving 99.9% uptime.

2. Multimodal Fashion Classification System

Tech Stack: ImageBind, Faiss KNN, PyTorch

  • Built a cold-start multimodal classification system achieving 0.8 accuracy and 0.95 coverage.
  • Result: Improved user experience in e-commerce platforms.

3. Multilingual Text Detection Pipeline

Tech Stack: DBNet, Swim-Transformer, MobileNet

  • Developed a pipeline achieving 0.9 precision and 0.95 recall across six languages.
  • Result: Enhanced multilingual support for Shopee's marketplace.

4. DAG-Based Scheduler for Workflow Optimization

Tech Stack: Golang, React, ElasticSearch

  • Engineered a dependency-aware DAG scheduler, improving workflow efficiency by 70%.
  • Result: Increased system reliability by 40%.

🌟 Awards & Recognition

  • 🏆 Best New Hire – Shopee Marketplace Intelligence & Data (2022)
  • 🏅 1st Place – NTU Design and Innovation Project (2020), Machine Learning
  • 🥇 1st Place – 5-min AI Video Clip Contest ICIP 2020
  • 🎓 NTU President Research Scholar (2019-2020)

📫 Let's Connect!

📊 GitHub Stats

GitHub Stats

Thank you for visiting! Feel free to explore my repositories and reach out if you'd like to collaborate! 🚀

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