Welcome to my curated collection of Software Engineering resources! This repository serves as a centralized hub for books, learning roadmaps, and academic papers covering various domains in computer science and software engineering.
The library is organized into three main categories:
Comprehensive guides and textbooks across core tech domains.
- AI: Deep Learning
- Algorithms: Introduction to Algorithms, Object-Oriented Technology
- Cyber Security: Security fundamentals
- Software Development: Clean Code, The Pragmatic Programmer
- Web Development: Web applications architecture
Curated roadmaps and skill trees to guide learning paths for various roles:
- Artificial Intelligence: AI Agents, AI Engineering, Data Science
- Cloud & DevOps: AWS, Cloudflare, Kubernetes, Docker, Terraform
- Data: Data Analytics
- Software Engineering: Computer Science, System Design, Software Design Architecture
- Security: AI Red Teaming
Academic papers and technical reports:
- AI: AI-Driven Virtual Teachers, LLM research.
- Dataset Bias: Mitigation strategies and bias analysis.
- Datasets: Sample datasets for performance analysis.
- Education: Impact of conflict on education and academic studies.
- Writing Resources: Guides on writing professional research papers.
- General: Research notes and drafts.
Simply browse through the folders to find the resources you need. All files are categorized by their primary domain. Whether you're looking for a deep dive into Algorithms or a roadmap for becoming a Cloud Engineer, you'll find it well-organized here.
Feel free to open an issue or a pull request if you have suggestions for organizing the repository or have highly recommended resources that would make a great addition to this library.
Maintained for continuous learning and growth in Software Engineering.