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ngusadeep/README.md

πŸ‘‹ Hi, I'm Ngusa

I'm a Machine Learning Engineer | AI Enthusiast | Deep Learning | Backend Engineer

Passionate about building intelligent systems, scalable software solutions, and exploring the frontiers of technology.

πŸ’Ό About Me

  • πŸ‘¨β€πŸ’» Building scalable backend systems
  • πŸ€– Developing AI & Deep Learning models for real-world applications
  • βš›οΈ Exploring Quantum Computing and its intersection with AI
  • πŸ’‘ Lifelong learner, problem solver, and open-source contributor

πŸ›  Tech Stack

Backend

FastAPI NestJS Node.js TypeScript

Frontend

React.js Next.js Figma

Machine Learning & AI

Python TensorFlow PyTorch Jupyter

Database & DevOps

PostgreSQL Docker Git GitHub

Cloud & Hosting

Vercel

Testing & CI/CD

GitHub Actions

πŸ” Currently Exploring

  • Advanced Deep Learning architectures & AI models
  • Robotics frameworks and intelligent agents
  • Quantum algorithms for AI applications

🌐 Connect with Me

🌟 Quote That Drives Me

"Keep building with faith. Never stop learning."

Pinned Loading

  1. cnn-cifar10-classifier cnn-cifar10-classifier Public

    CNN-based image classifier using TensorFlow and Keras to recognize images from the CIFAR-10 dataset.

    Jupyter Notebook

  2. Modular-FastAPI-starter-backend Modular-FastAPI-starter-backend Public

    🧱 Modular FastAPI Starter Backend – A production-ready starter template for building scalable backend APIs with FastAPI, featuring a clean modular architecture, JWT authentication, PostgreSQL/SQLit…

    Python

  3. MNIST-digit-classifier MNIST-digit-classifier Public

    MNIST Digit Classifier : A project that trains a machine learning model using neural networks to recognize handwritten digits from the MNIST dataset. Includes data loading, preprocessing, training,…

    Jupyter Notebook

  4. churn-prediction-ann churn-prediction-ann Public

    Artificial Neural Network model for predicting customer churn with preprocessing, training, and evaluation.

    Jupyter Notebook

  5. house-price-prediction house-price-prediction Public

    Machine learning project to predict California house prices using regression models on census data. Includes data download, preprocessing, and model training.

    Jupyter Notebook