AQSA ZAM ZAM MIRZA JOHAR BAIG — Portfolio & Projects

Every project in this portfolio started with a real problem. AQSA ZAM ZAM MIRZA JOHAR BAIG believes that the best software is not the most technically complex — it is the software that solves a problem clearly, performs reliably in production, and can be understood and extended by future developers. This philosophy drives every architectural decision, from choosing the right database schema to structuring API endpoints.

For Mahalaxmi Tailors, the goal was building a complete e-commerce system that a non-technical business owner could rely on daily. That meant prioritizing uptime with AWS, keeping payment flows trustworthy with Razorpay webhook verification, and making sure every order notification reached the right person instantly. The system went live within three days of conception and has handled real customer transactions.

FalcoVita tackled the healthcare domain — where data accuracy and security are non-negotiable. The asynchronous architecture using Celery and Redis ensured that heavy ML inference tasks never blocked the user interface. Cryptographic data protection was implemented at the field level, not just at the transport layer.

The IPO Success Predictor demonstrates a complete machine learning workflow: feature engineering from financial datasets, training an ensemble model (80% accuracy), exporting it, and deploying an interactive interface on Hugging Face — making ML accessible to non-developers.