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Milesden/README.md
Milesden Milesden

MILESDEN

Python Developer · AI / ML · Backend

Repositories Profile


> whoami

Milesden

Python developer focused on backend, automation and AI/ML.
I like building things that actually work — from Telegram bots
to deployable applications and infrastructure.

Currently learning, experimenting and shipping.

⚡ What I do

  • 🐍 Python — bots, automation, backend
  • 🤖 AI / ML — learning and building projects
  • 🎮 Game logic — card-game / Telegram projects
  • 🧩 Backend — APIs and application architecture
  • 🐳 DevOps — Docker, CI/CD, cloud deployment
  • ☁️ Infrastructure — Kubernetes, Terraform, Ansible
  • ⚙️ Other languages — C++, C#, Java

🧰 Tech Stack

Tech stack


🚀 Featured Projects

🎴 durak_bot

Telegram card game built with Python + Aiogram.

Features

  • Multiplayer game logic
  • Callback / inline interactions
  • Custom keyboards
  • Telegram Bot API
  • Deployment-ready structure
View durak_bot

💬 telegram dating bot

Interactive Telegram bot concept with:

  • Invite flow
  • Yes / No buttons
  • Media & animations
  • Conversation states
  • Aiogram handlers

Stack: Python · Aiogram · Telegram Bot API


📊 GitHub

GitHub stats Top languages

GitHub streak

🐍 Contribution Snake

Contribution snake

🏆 Achievements

GitHub trophies

📈 Contribution Graph

Milesden's activity graph


BUILD • BREAK • LEARN • REPEAT


Profile views

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  1. clicker-game clicker-game Public

    Neon-themed browser clicker / idle game built with vanilla HTML, CSS and JavaScript. Upgrades, pets, missions, random events and Prestige progression.

    JavaScript 1

  2. durak_bot durak_bot Public

    🃏 Telegram Durak (card game) bot built with Python + aiogram, featuring async gameplay and a modular architectur

    Python 1

  3. Guess-the-Number Guess-the-Number Public

    A Python number guessing game with persistent stats and an ASCII menu

    Python 1

  4. student-result-prediction student-result-prediction Public

    ML project that predicts student pass/fail results using Logistic Regression based on study hours, attendance, and previous marks.

    Python 1