Deep dives into AI/ML, full-stack engineering, and lessons learned from building real-world software projects.
Abdul Rahman Azam is a Full Stack AI Engineer from Karachi, Pakistan, specializing in machine learning, deep learning, and web development. Learn about his background, skills, projects, and achievements.
A complete walkthrough of Abdul Rahman Azam's 5 AI and software engineering projects — from an 85% accurate ML predictor to an unbeatable game AI, built during his BS in AI at FAST NUCES.
How I engineered a machine learning pipeline that achieves 85% accuracy on 32K+ census records — from data preprocessing to FastAPI deployment.
A deep dive into adversarial search algorithms — how I built an unbeatable Tic-Tac-Toe AI and scaled it to Super Tic-Tac-Toe's 9-board complexity.
From writing my first C program to building AI-powered web applications — reflections on 4 years of learning, competing, and building at FAST NUCES.