Muhammad Saad Akhtar

I’m a Computer Engineering student who’s passionate about Machine Learning, Deep Learning, Artificial Intelligence, and Computer Vision. I’m proficient in Python, and I enjoy building AI-driven applications for real-time object tracking, intelligent automation, and impactful problem-solving.

As a Computer Vision Intern at Arch Technologies, I developed and deployed computer vision solutions for real-time detection and recognition tasks. I also fine-tuned and optimized pre-trained models to improve accuracy and performance.

In my Data Analyst Associate Internship at Excelerate, I analyzed and transformed datasets to create master and mapping tables. I designed wireframes and developed interactive dashboards using Looker Studio and PostgreSQL to deliver data-driven insights.

I’m motivated by hands-on projects that blend research and real applications—like my AI-Based Virtual Try-On System using GANs, OpenPose, and OpenCV. I also built OLUFSEN with LLaMA 2.0, and an AI-driven application for real-time invisibility cloaking and background replacement. Beyond that, I’ve created a Flask-based Weather-Forecast-System using OpenWeatherMap API, and augmented/interactive experiences like a gesture-controlled snake game and Pygame-based games.