Thoughts, tutorials, and insights on AI, software engineering, data science, and the future of technology.
Exploring how LLMs like GPT-4, Claude, and Gemini are revolutionizing code generation, debugging, and the entire software development lifecycle.
A comprehensive guide to designing, building, and deploying production-ready RESTful APIs using Django, PostgreSQL, and modern DevOps practices.
Learn how to create compelling, interactive dashboards that tell data stories using Power BI, Pandas, and advanced visualization techniques.
Deep dive into React Server Components, streaming SSR, and how Next.js 15 is reshaping modern web application architecture.
How traditional Agile methodologies are evolving to accommodate AI-assisted development, automated testing, and faster iteration cycles.
Best practices for taking ML models from experimentation to production using Docker, Kubernetes, and MLOps pipelines.
Advanced TypeScript patterns, type safety strategies, and architectural decisions for building maintainable large-scale applications.
A complete walkthrough of modern data science workflows using Pandas, NumPy, Scikit-learn, and visualization libraries.
Building, containerizing, and orchestrating microservices using Node.js, Express, Docker, and Kubernetes for cloud-native applications.
Leveraging AI assistants like GitHub Copilot, Amazon CodeWhisperer, and custom LLMs to improve code quality and catch bugs early.
Modern responsive design strategies including container queries, fluid typography, and designing for foldable devices and AR glasses.
Comparative analysis of NoSQL and SQL databases, indexing strategies, query optimization, and when to use each for maximum performance.
