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kyoo-log/README.md

🌟 ようこそ私のポートフォリオへ: バックエンド | クラウド | 機械学習 🌟

こんにちは!

I’m Kyoo-log, a passionate self-taught developer specializing in:

  • 🧰 Backend Development: APIs, data pipelines, and system design.
  • ☁️ Cloud Computing: AWS, GCP, and serverless solutions.
  • 🤖 Machine Learning: Building models that turn data into actionable insights.

📂 Projects Overview

🧰 Backend Development

  1. FastAPI CRUD Application

    • Stack: Python, FastAPI, PostgreSQL
    • Description: A robust REST API with JWT authentication and database integration.
    • Features:
      • User authentication (JWT-based).
      • CRUD operations for managing user profiles.
      • Deployed on AWS Lambda.
    • Link: FastAPI CRUD Apps
  2. GraphQL API

    • Stack: Node.js, Apollo Server, MongoDB
    • Description: A GraphQL API handling user queries efficiently with real-time updates.
    • Link: GraphQL API

☁️ Cloud Projects

  1. Serverless Architecture

    • Stack: AWS Lambda, DynamoDB, API Gateway
    • Description: Deploy a scalable REST API with serverless architecture.
    • Features:
      • Fully serverless using AWS ecosystem.
      • Cost-efficient and scalable infrastructure.
    • Link: Explore the Project
  2. CI/CD Pipeline

    • Stack: GitHub Actions, Docker, AWS ECS
    • Description: Automate app deployment with CI/CD integration for seamless updates.
    • Features:
      • Build and deploy Dockerized apps to AWS ECS.
      • Load balancing using ECS clusters.
    • Link: Explore the Project

🤖 Machine Learning Projects

  1. Predictive Model for Sales

    • Stack: Python, Scikit-learn, Pandas
    • Description: A regression model predicting sales revenue using historical data.
    • Features:
      • Linear regression with hyperparameter tuning.
      • Visualized results for better insights.
    • Link: Explore the Project
  2. Tweet Sentiment Analysis

    • Stack: Python, TensorFlow, NLTK
    • Description: Classify tweets into positive, neutral, or negative sentiments.
    • Features:
      • Preprocessing text data (tokenization, stemming).
      • TensorFlow model for sentiment classification.
    • Link: Explore the Project

🛠️ Technical Stack

Languages
Python JavaScript SQL
Frameworks
FastAPI Flask Node.js
Cloud & DevOps
AWS GCP Docker
Machine Learning
TensorFlow PyTorch Scikit-learn


📜 About Me

私は Kyoo-log です。
バックエンド開発、クラウドコンピューティング、そして機械学習を愛する自己学習型エンジニアです!

🌟 Why I Code

"コードを書くことは未来を創造すること。"
(Coding is creating the future.)
I believe technology is the bridge to solving real-world problems, and my goal is to be a part of this journey.


🌐 Connect with Me

GitHub LinkedIn X Email


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