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Exploring the differences between synchronous and asynchronous programming in backend communication.

Understanding the foundational concepts of backend communication patterns, protocols, and request-response mechanisms.

A deep dive into building a production-ready spyware detection system with dynamic model updates, Docker security hardening, and heuristic threat analysis.

How we built a self-updating spyware detector that automatically retrains and deploys models using GitHub Actions, Docker, and Python ML pipelines.

Automating spyware detection using machine learning and GitHub Actions enables seamless model updates and deployment. This blog explores how we built a system that retrains and releases the latest spyware detection model whenever the dataset or algorithm changes, ensuring up-to-date security defenses.

Rebuilding the frontend for a file processing application with improved code quality, user experience, and maintainability. This blog covers the redesign process, key features, and next steps for development.

Refactoring a spyware detection system for better performance, security, and maintainability has been a valuable learning experience. This blog covers the journey, challenges faced, lessons learned, and the next steps in improving the project.

Building a scalable, real-time virus scanning system using ML presented unique challenges in security, performance, and architecture. In this blog, we share our journey of designing an isolated scanning process, integrating an AI-powered malware detection model, and ensuring scalability for millions of users. From handling large files to improvi...