Wasif Rehman

Data Science and Artificial Intelligence enthusiast with experience in Computer Vision, Deep Learning, and AI systems. Skilled in building real-world models including face liveness detection, deepfake detection, and multiclass image classification using CNN architectures. Experienced with LLMs, LangChain, and AI agents through industry internships.

Strong understanding of data preprocessing, model training, evaluation, and performance optimization. Passionate about applying machine learning techniques to solve practical problems.

Data Science Intern - Programmers Force

(2026-01 - 2026-06)

• Face Liveness Detection Model: Developed a computer vision model to determine whether a person on camera is live or spoofed. Applied image processing and CNN techniques for real-time detection.
• Multi-class Vehicle Image Classification: Built a deep learning model to classify vehicles into multiple categories. Performed dataset preprocessing and evaluation.
• Deepfake vs Real Face Detection: Developed a model to distinguish AI-generated faces from real faces. Applied feature extraction and CNN-based classification techniques.
• MNIST Digit Classification: Built and fine-tuned a CNN model for handwritten digit recognition. Applied preprocessing, hyperparameter tuning, and performance evaluation.

AI Intern - Axis Coding Solutions

(2025-11 - 2025-12)

• Learned and worked with Large Language Models (LLMs).
• Developed an understanding of the LangChain framework.
• Explored development of AI agents and prompt workflows.

BSCS - Computer Science - University of Central Punjab, Lahore (2021-01 - 2025-12)

FSc Pre-Engineering - Pre-Engineering - Punjab Group of Colleges (2019-01 - 2021-12)

Matriculation (Computer) - Computer - Ghazi Scholars Foundation (2017-01 - 2019-12)