Sohaib Khan

🛠️ Projects

🚀 Projects Portfolio

Each project reflects hands-on experience with DevOps, automation, and software development, showcasing problem-solving skills and real-world applications.

📌 Personal Portfolio Website

🛠️ Tech Stack: Python, Flask, Jinja2, Markdown, TailwindCSS, Cloudflare Tunnel, Kubernetes

🔹 Overview:
Built a personal portfolio website to showcase my experience, projects, and skills in a structured and interactive format. The site dynamically renders content using Markdown files, making updates seamless without modifying the codebase.

🔹 Key Features:

  • 📜 Dynamic Content: Uses Markdown files to manage and update sections like Projects, Tech Stack, Experience, and Contact without modifying the HTML.
  • 📑 PDF Resume Generation: Generates a downloadable resume on demand using WeasyPrint.
  • 🔗 Cloudflare Tunnel: Securely exposes the site to the internet with Cloudflare Tunnel, eliminating the need for complex networking configurations.
  • 📦 Docker & Kubernetes-Ready: Supports containerization with Docker and can be deployed on K3s Kubernetes using a LoadBalancer for production-ready hosting.

🔹 Project Repository:
📌 GitHub Repo

💬 Response Box – Canned Response Manager

"Save time and streamline communication with pre-configured responses."

Response Box is a Python-based GUI application designed to store, manage, and quickly retrieve commonly used responses. Whether for customer support, technical documentation, or chatbot automation, this tool ensures easy access to pre-defined messages.

Key Features

✅ Quickly save and manage canned responses for common queries.
✅ Search & retrieve functionality for stored responses.
✅ Custom tagging system to categorize responses efficiently.
✅ Dark mode support for an eye-friendly experience.
✅ Minimalist UI built with PyQt5 for a clean and responsive design.
✅ Portable – Can be bundled into a single executable for use without dependencies.

Technologies Used

  • Python (PyQt5) – GUI development.
  • JSON – Data storage format.
  • Standalone Executable Support – Package app into .exe or .AppImage using pyinstaller.

🔗 Source Code & Documentation: GitHub Repository

💰 Finance Manager Web Application

"Take control of your finances with real-time tracking and insights."

The Finance Manager Web Application is a Flask-based web app designed to help users track expenses, manage monthly budgets, and visualize financial data in an interactive way. Built with flexibility in mind, this app supports both Docker and Kubernetes-based deployments.

Key Features

✅ Add, Edit, & Delete Expenses – Keep track of monthly spending with a user-friendly UI.
✅ Goal Setting – Set and adjust financial goals to manage savings.
✅ Dynamic Charts & Reports – Visualize financial trends with interactive tables.
✅ Multiple Deployment Options – Supports Docker for local testing and Kubernetes for cloud-based continuous development with Skaffold.
✅ Minimalist & Responsive UI – Designed for seamless use on both desktop and mobile.

Technologies Used

  • Flask – Backend API & web framework.
  • SQLite – Lightweight database for financial data storage.
  • Docker & Kubernetes – Containerized deployment with Skaffold for CI/CD.

🔗 Source Code & Documentation: GitHub Repository

🛠️ Ansible Remote Controller

"Manage, execute, and automate Ansible playbooks with a streamlined desktop GUI."

The Ansible Remote Controller is a desktop application designed to simplify Ansible playbook management, execution, and inventory handling. Built with PyQt6, it provides an intuitive interface to manage automation tasks without relying on CLI commands.

Key Features

✅ Graphical User Interface (GUI) – A clean and simple UI built with PyQt6.
✅ Playbook Management – Create, edit, upload, and delete Ansible playbooks.
✅ Inventory Management – Store and organize hosts for efficient playbook execution.
✅ Run Playbooks – Execute playbooks directly from the GUI with real-time feedback.
✅ System Info Detection – Auto-detect hostname, OS version, and kernel.
✅ Error Handling – Get clear messages if Ansible is missing or misconfigured.

Technologies Used

  • Python (PyQt6) – GUI framework for desktop development.
  • Ansible – Infrastructure automation.
  • PyInstaller – Converts the application into a standalone executable.

🔗 Source Code & Documentation: GitHub Repository

🚀 DashLink - GitOps Deployment with Skaffold

"Streamlining Kubernetes deployments with a simple GitOps workflow."

DashLink is a Flask-based web application that demonstrates GitOps principles using Skaffold for Kubernetes deployments. It serves as a practical guide for deploying and managing applications in Kubernetes environments with minimal manual intervention.

Key Features

✅ GitOps Workflow – Automate deployment by pushing code updates.
✅ Skaffold Integration – Continuous development and deployment in Kubernetes.
✅ Namespace Isolation – Deploy applications in separate Kubernetes namespaces for better resource management.
✅ Docker Registry Integration – Pull container images securely from private registries.
✅ Secrets Management – Securely store credentials for Docker registry authentication.

Technologies Used

  • Flask – Lightweight backend framework.
  • Skaffold – Continuous development for Kubernetes applications.
  • Kubernetes (k3s, k8s) – Cluster-based deployment.
  • Docker – Containerization for portability.

🔗 Source Code & Documentation: GitHub Repository

🔧 Home Server Setup

I created a comprehensive guide for setting up a home lab using tools like Proxmox and Docker containers.
Follow the step-by-step instructions to create your own home server setup.
Links: GitHub | KnowledgeBase

📖 Lite Markdown Wiki

Built a Flask-based wiki for creating, editing, and managing Markdown articles.

Key Features

  • Integrated Toast UI Editor for Markdown editing.
  • Added fuzzy search and image upload capabilities.
  • Created dark and light mode toggles for user preferences.

Technologies Used

  • FuzzyWuzzy – Implemented for searching articles.
  • Flask & Jinja2 Templates – Backend and dynamic content rendering.

🔗 Source Code & Documentation: GitHub Repository

🌐 Yunohost

Before shifting to containers, I utilized a Debian-based server called Yunohost.
Documented the process for setting up Yunohost from scratch.
Link: GitHub

📡 OpenWrt Project

Transformed a spare Raspberry Pi into a wireless Access Point and Router using OpenWrt firmware.

Key Accomplishments:

  • Installed OpenWrt and configured a secure, optimized network.
  • Enabled the Raspberry Pi to act as both an Access Point and a Router.
  • Configured firewalls, DHCP, and NAT for secure data transmission.

Technologies Used:

  • Raspberry Pi: Single-board computer for hardware.
  • OpenWrt: Open-source Linux firmware for networking.
  • Networking: Practical experience in configuring advanced network settings.

Note: This project was for personal use and not intended for commercial deployment.

🔐 pfSense Network Security Project

Created a secure and robust network infrastructure using pfSense and a NUC PC with multiple Ethernet ports.

Key Achievements:

  • Installed and customized pfSense for advanced traffic management.
  • Set up a WireGuard VPN server for secure remote access.
  • Managed port forwarding and traffic filtering to optimize performance.

Technologies and Concepts Applied:

  • VPNs: Configured secure connections with WireGuard.
  • Traffic Shaping: Prioritized bandwidth for critical services.

Note: This project emphasized privacy, security, and technical excellence in a controlled environment.

🔒 Running WireGuard VPN on Raspberry Pi

Utilized a Raspberry Pi 4 to host a WireGuard VPN alongside my Docker-based media server.

Key Highlights:

  • Integrated WireGuard into an existing Docker setup.
  • Configured port forwarding for secure VPN communication.
  • Documented the process in a comprehensive playbook.

Technologies Demonstrated:

  • Raspberry Pi 4: Maximized its potential for versatile applications.
  • WireGuard: Implemented encrypted, secure VPN protocols.

🤖 AiCat - Dual-Platform Chatbot Integration

Designed AiCat, a chatbot integrating OpenAI's GPT-3 and Google's Bard AI to provide comprehensive responses.

Key Achievements:

  • Seamlessly integrated two AI platforms using Python.
  • Built error-handling mechanisms for smooth user interactions.
  • Developed a Docker environment setup script for easy deployment.

Link: GitHub Repository

🌟 Proxmox Virtual Environment Automation

Automated VM lifecycle tasks on Proxmox using Python scripts.

Key Features:

  • Listed, created, started, and deleted VMs dynamically.
  • Implemented API integration for seamless interactions.
  • Adopted Infrastructure as Code (IaC) practices for consistent deployment.

Link: GitHub Repository

"Each project is a story of curiosity, challenges, and learning."