I'm a BS Artificial Intelligence student at Khawaja Fareed University, passionate about turning ideas into real, working AI systems. I love exploring Machine Learning, Deep Learning, and Computer Vision — and building things that actually work beyond the notebook
Currently in my 5th semester with a CGPA of 3.57, focused on bridging the gap between research-grade code and production AI pipelines. My coursework spans machine learning, deep learning, computer vision and software engineering and I extend it with hands-on personal projects that turn academic concepts into shipping systems on GitHub.
status: available
Open for AI/ML Internships
Actively seeking AI/ML engineering internships remote ,on-site,Hybrid. I bring shipped projects, a curious mindset, and a strong drive to learn from senior engineers on real production systems.
Problem SolvingCommunicationTeamworkTime Management
// Portfolio
Featured Project
Media Control Through Hand Gestures
Built a real-time touchless system to control PC volume, brightness, play/pause, and navigation using hand gestures via webcam. Implemented stable gesture detection using MediaPipe hand landmarks with a custom tracking-lock system for low-latency performance.
Developed a CNN-based deep learning model for real-time hand gesture classification using computer vision techniques. Applied rigorous image preprocessing and data augmentation to improve model accuracy and generalization.
Built an end-to-end regression pipeline to predict house rent across 6 Indian cities using real-world data. Trained and evaluated multiple ML models, applying outlier handling, feature scaling, and hyperparameter tuning.
Engineered an ML pipeline to detect fraudulent transactions. Managed severe dataset imbalance using targeted sampling techniques and stringently evaluated results utilizing Precision, Recall, and F1-Score matrices.
Completed Hacktoberfest — earned all badges up to Plant level
Contributed to open-source systems on GitHub during Hacktoberfest 2025, earning every badge up through the Plant level. Along the way I sharpened my version control etiquette, pull request workflows, code review habits, and real-world collaboration patterns across distributed teams.