In-depth, easy-to-follow technical articles on C++, Linux, embedded systems, cloud computing, cloud-native application development, generative AI, and AI-driven live engineering projects, written for software professionals and AI enthusiasts.
Active engineering projects documented in real time, including architecture decisions, code walkthroughs, and lessons learned as they happen.
Practical AI engineering projects built with generative AI, multimodal models, APIs, Python, and end-to-end automation workflows.
Complete, structured technical books published chapter by chapter — starting with “Understanding C++ Templates: A Comprehensive Guide”.
Modern C/C++ articles covering templates, RAII, memory management, and real-world performance engineering.
Kernel programming, Linux internals, drivers, debugging tools, and low-level systems engineering.
Embedded C, board bring-up, device drivers, IoT protocols, microcontrollers, and real embedded workflows.
AWS pipelines, Glue ETL, Lambda automation, monitoring, cloud engineering, and DevOps practices.
Study notes, NLP, ML concepts, training models, GPU compute, Big Data pipelines, and distributed data processing.
Routing, distributed computing, MPI, parallel processing, networking fundamentals, and systems communication.
Large-scale data processing, distributed storage, ETL pipelines, batch and streaming architectures, and Hadoop-ecosystem tools.
BITS Pilani WILP notes, cloud computing summaries, AI/ML semester material, and structured study guides for students and engineers.
The post discusses partitioning a set of 12 sales price records into three bins using equal-frequency, equal-width, and clustering methods. It further explains data smoothing techniques through bin means and medians. Key points highlight the benefits and limitations of each method, particularly regarding sensitivity to outliers.
C++17 introduced std::optional to improve API design by allowing functions to return an optional value. Instead of returning a placeholder like -1 when a key isn’t found in a map, std::optional lets functions return std::nullopt. C++23 further enhances error handling with std::expected, allowing custom error messages.
The project outlines the creation of an AI-based examiner tool that automates the marking of handwritten GCSE exams. Teachers can upload scanned PDFs, and in 20-30 seconds, receive detailed feedback reports formatted as .docx files. Built using Python, Flask, and Gemini AI, it offers an efficient marking solution while ensuring data privacy.
The post discusses building a multithreaded HTTP web server in C++ using a thread pool to handle concurrent connections, Nginx as a reverse proxy, and Docker for containerization. The server manages shared state with mutexes and condition variables, ensuring thread safety. Key features include live management, health checks, and rate limiting.
The content discusses the transition from a monolithic to a microservices architecture for a growing online retail company. It explains challenges of monolithic systems under increased demand, benefits of microservices such as independent deployment and service autonomy, and suggests a microservices redesign to enhance scalability, fault isolation, and maintainability.
The content discusses scalable architecture for a video streaming platform, addressing vertical and horizontal scaling, and load balancing to manage increased traffic. It also outlines the design of a distributed e-commerce platform’s scaling algorithm and explores the CAP theorem’s trade-offs in distributed systems. Finally, it emphasizes the importance of database sharding and caching for a global-scale video sharing platform.
