Muhammad Zaid Bin Saad

I'm building full-stack web applications, machine learning pipelines, and AI-powered systems while studying Computer Science at FAST-NUCES Lahore.

I developed a clinic management system using Node.js, Express.js, React, and Microsoft SQL Server, covering patient registration, doctor retrieval, session scheduling, and RESTful APIs. I also migrated inline database queries to stored procedures for cleaner separation of logic.

For a crypto volatility tracker, I built a transactional data analyser that ingests live Binance WebSocket data, transforms it, and populates a PostgreSQL database. I created interactive Power BI dashboards that let users inspect anomalies in detail.

I've also trained a Python machine-learning model to predict used-car prices in Pakistan using the Pakwheels 2025 dataset, applying data cleaning and feature engineering. I'm eager to contribute clean, efficient code in web development, machine learning, data engineering, and automation roles.