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John-Ferrel/README.md

John Ferrel | AI Application Engineer

Profile Views

🚀 Professional Profile

AI Application Engineer | Fudan University Alumni (B.Sc. Data Science, 2019-2024)

Specializing in transforming AI/ML research into production-ready applications and systems.

Core Expertise:

  • AI/ML Engineering: Production ML Systems • Model Deployment • MLOps
  • Full-Stack Development: Web Applications • APIs • Cloud Infrastructure
  • Technical Stack: Python • C/C++ • SQL • Flask • Docker • Cloud Services
  • Domain Focus: Computer Vision • Time Series • Natural Language Processing

📁 Portfolio & Resources

🌐 Personal Website

Website

Showcasing projects, technical articles, and professional experience

📬 Contact & Connect

Email

Blog

💼 Professional Focus

🔧 What I Do

  • Design and implement scalable AI-powered applications
  • Bridge the gap between data science research and production systems
  • Develop end-to-end ML pipelines and deployment architectures
  • Create intuitive interfaces for complex AI functionalities

🎯 Current Interests

  • Edge AI Deployment • Real-time Inference Systems
  • AI Application Architecture • MLOps Best Practices
  • Open Source AI Tools • Developer Experience for AI Products

🛠️ Technical Stack

AI/ML Engineering: Python PyTorch OpenCV Scikit-learn

Development & Deployment: Flask Docker AWS Git

Data & Infrastructure: SQL MongoDB Redis

📈 Recent Activity

Check my website for latest projects and articles!

🚀 Building the Future of Applied AI

"Turning complex algorithms into intuitive applications that solve real-world problems"

Pinned Loading

  1. CV-Final CV-Final Public

    The final Project of CV, including 3 tasks.

    Python 1

  2. CV_NN CV_NN Public

    PJ1 of CV, a three-layer linear neural network for image classification

    Python

  3. demon-hex-prototype demon-hex-prototype Public

    GDScript

  4. From-NAND-to-Computer From-NAND-to-Computer Public

  5. linear-optimization linear-optimization Public

    the coding of linear-optimization, simplex and inter-point method

    Python

  6. quant-career-lab quant-career-lab Public

    my quant research

    Python