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AI Engineer with less than a year in Machine Learning & Generative AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A Computer Science Engineer with a strong passion for Machine Learning, Generative AI, and Agentic AI, focused on developing intelligent and impactful AI-driven solutions. Skilled in TensorFlow and PyTorch for advanced deep learning and AI applications. Quick to adapt to emerging technologies while consistently delivering high-quality, efficient, and scalable solutions. Holds a Bachelor's degree in Computer Science from Pakistan Institute of Engineering and Applied Sciences (PIEAS), with expertise in modern AI and machine learning techniques.
Pakistan Institute of Engineering and Applied Sciences
Bachelor of Computer and Information Science · Computer and Information Science
September 1, 2022 – June 1, 2026
PAIS (PIEAS Artificial Intelligence Society)
University
June 1, 2024 – May 1, 2025
Islamabad, Islamabad Capital Territory, Pakistan
Human Surveillance System Using Pose-Estimation (FYP)
June 1, 2025 – June 1, 2026
Developed a real-time anomaly detection system using pose estimation AND YOLOv26, that automatically detects abnormal behaviors and generates alerts.
Smart Power Outage Detection
June 1, 2025 – June 1, 2026
Proposed and designed an intelligent system to detect power outages in rural areas with limited or no internet connectivity. Developed comprehensive use-cases and activity diagrams to support the system architecture. The solution leverages.
Shoplifting Detection System
June 1, 2025 – June 1, 2026
Created an AI powered Computer Vision System that analyzes surveillance footage that detects suspicious behavior and item concealment.
Vehicle Detection System
June 1, 2025 – June 1, 2026
Developed a Vehicle Detection System using OpenCV and PyTorch that accurately identifies and tracks vehicles in real time from video feeds. The system leverages computer vision techniques such as background subtraction, contour detection, and object tracking to detect moving vehicles, efficient for traffic monitoring.
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong focus on AI and Computer Vision, aligning well with an AI Engineer role. The diversity of projects (surveillance, power outage detection, shoplifting, vehicle detection) shows a breadth of application interest within AI. Involvement in a university AI society indicates a proactive approach to learning and community, which can be a positive cultural fit. However, the lack of professional experience outside of academic projects and volunteer work means there's limited data to assess fit within a corporate operational culture.
Soft Skills & Operational Fit
The candidate's resume highlights a passion for developing intelligent and impactful AI-driven solutions and quick adaptability to emerging technologies. Involvement in the PIEAS Artificial Intelligence Society suggests an interest in collaborative learning and community engagement. However, without specific psychometric or English test scores, it's difficult to assess logical reasoning, work attitude, stress handling, team collaboration, or communication clarity beyond what's presented in the resume.