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AI Engineer with less than a year in AI/ML, Computer Vision, and Data Analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science student with strong foundation in Artificial Intelligence, Machine Learning, Deep Learning, and Computer Vision. Hands-on experience with Python, data preprocessing, model training, and evaluation through academic projects. Familiar with libraries such as NumPy, Pandas, Scikit-learn, and OpenCV. Seeking an opportunity to apply AI/ML skills in real-world problems through internship or entry-level roles.
Iqra University-Karachi, Pakistan
Bachelor of Science · Computer Science
August 1, 2022 – Present
Shah Abdul Latif College - Mirpurkhas, Pakistan
FSc · Pre-Engineering
June 1, 2021 – May 31, 2022
Object Detection in Satellite Images using YOLOv4-Tiny
June 1, 2022 – June 1, 2026
Developed an object detection system for satellite images using YOLOv4-Tiny. Detected multiple classes including cars and swimming pools from high-resolution satellite imagery. Performed dataset preprocessing, annotation conversion (VOC to YOLO format), and model training using Darknet framework on Google Colab with GPU support. Achieved approximately 81% mAP with efficient real-time inference performance.
Stock Market Prediction System
June 1, 2022 – June 1, 2026
Developing a stock market prediction system using forecasting and data analysis techniques. Working with datasets to analyze trends and improve prediction accuracy. Applying analytical and problem-solving skills through practical implementation and testing.
Cultural Fit Analysis
The candidate's academic projects show an interest in AI/ML applications, which aligns with an AI Engineer role. However, the lack of professional experience and limited project diversity (both academic) suggest a need for significant development in a professional team environment. The candidate is seeking internship or entry-level roles, which indicates a willingness to learn and adapt, but also highlights the current gap in professional cultural fit.
Soft Skills & Operational Fit
The candidate lists communication, teamwork, problem-solving, adaptability, and critical thinking as soft skills. While these are valuable, there is no evidence from completed tests or professional experience to validate these claims. The candidate is a student with no professional experience, indicating a need for significant operational guidance and mentorship.