Welcome👋

This is my personal documentation space where I capture my learnings, hands-on experience, and practical insights across multiple technology domains.

The content here is a mix of notes, guides, best practices, and real-world experiences gained while working on projects and exploring new tools. It’s built to be clear, fast, and markdown-first, making it easy to evolve as my learning journey grows.

Purpose Of this Documentaion 😀

This documentation is intended to:

• 📘 Serve as my personal learning archive
• 🧩 Capture practical implementation details, not just theory
• 🔧 Document tools, architectures, and workflows I’ve worked with
• 🚀 Act as a reference for future projects and real-world problem solving

Knowledge Domains Covered 👨‍💻

Below is the list of domain covered throughout the project

👨🏻‍💻 ☁️ DevOps ☁️ 👨🏻‍💻

The DevOps section focuses on building, deploying, securing, and operating applications at scale. It covers tooling, cloud platforms, automation, and architectural decisions involved in modern software delivery.

Key topics include:

• Azure DevOps

Project and organization setup, repositories, pipelines, permissions, releases, environment configurations, and governance practices.

• GitHub

Repository management, security features, secrets and environment variables, CI/CD pipelines, self-hosted agents, organization setup, pricing plans, and advanced GitHub features.

• Terraform

Infrastructure as Code concepts and patterns used to define, provision, and manage cloud infrastructure in a repeatable and scalable way.

• Cloud Platforms (AWS & Azure)

Core services, networking, compute, storage, security, and real-world cloud architecture patterns.

• SonarQube

Code quality analysis, security scanning, and integration with CI/CD pipelines.

• FreshDesk

Ticket management workflows, SLA handling, and operational support processes.

• Architecture & Networking

System and network architecture diagrams covering different deployment and connectivity scenarios.

👨🏻‍💻 🛠️ Full Stack Deployment 🛠️ 👨🏻‍💻

This section focuses on end-to-end application development, covering everything from user interfaces to backend services and system architecture.

Key topics include:

• Frontend Technologies

Frontend languages and frameworks used to build modern, responsive, and scalable user interfaces.

• Backend Technologies

Backend languages, frameworks, APIs, authentication, and business logic implementation.

• UI Libraries & Design Systems

Reusable UI components, styling approaches, and design consistency.

• System & Application Architecture

Design patterns and architectural decisions for scalable, high-availability applications, including performance, security, and maintainability considerations.

👨🏻‍💻 📊 Data Engineering 📊 👨🏻‍💻

The Data Engineering section captures how data systems are designed, built, and operated to support analytics, reporting, and decision-making.

Key topics include:

• Core Data Engineering Architecture
• Microsoft Fabric
• Microsoft Databricks
• Snowflake & dbt

👨🏻‍💻🧠 Artificial Intelligence 🧠 👨🏻‍💻

This section is planned for future expansion. It will cover concepts, experiments, and practical implementations related to AI, as I continue exploring and building in this space.

👨🏻‍💻 ֎ Machine Learning ֎ 👨🏻‍💻

This section is planned for future expansion. It will cover concepts, experiments, and practical implementations related to Machine Learning, as I continue exploring and building in this space.