Technical articles on AI/ML, AWS, Next.js, and full-stack development — plus Urdu Shayari. Written by AQSA ZAM ZAM MIRZA JOHAR BAIG, CS undergrad at VIIT Pune & IIT Madras.
A comprehensive guide on tackling array and graph problems efficiently during technical rounds at top tech companies.
Learn how to containerize your ML models with Docker and deploy them on scalable AWS EC2 instances with CI/CD.
My personal roadmap to cracking tough SDE interviews. Behavioral tips, system design basics, and coding patterns.
How I built a production MERN e-commerce platform for Mahalaxmi Tailors in 3 days.
A technical deep-dive into FalcoVita's architecture: Flask REST APIs, Vue.js frontend, Redis task queues with Celery, and AWS deployment.
The journey of earning the AWS Certified Cloud Practitioner credential while studying at VIIT Pune and IIT Madras.
Production-tested tips for Next.js 16 App Router and React 19 Server Components.
Exploring the intersection of technology and Urdu poetry — original Urdu Shayari by a software developer.
From building your first scikit-learn pipeline to deploying ensemble models on Hugging Face, AQSA ZAM ZAM MIRZA JOHAR BAIG covers the complete machine learning workflow. Topics include feature engineering, model evaluation, handling imbalanced datasets, and making ML accessible to real applications — not just notebooks.
Practical AWS guides written by someone who has used these services in production. Deploying Node.js backends to EC2, writing CloudFormation templates for reproducible infrastructure, setting up CloudFront for CDN, and automating deployments with GitHub Actions CI/CD pipelines — all explained clearly.
Next.js 16 App Router, React 19 Server Components, Server Actions, parallel routes, and performance optimization techniques. Written from the perspective of a developer who uses Next.js for production deployments, not just tutorials.
Data structures and algorithms breakdowns focused on what actually appears in technical interviews at top tech companies. Array patterns, graph traversal, dynamic programming, and system design — approached with clear explanations and working code in Python and Java.