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AI Engineer with less than a year in Machine Learning and Web Development
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 at UET Lahore with hands-on experience in Machine Learning, Deep Learning, and full-stack web development. Skilled in building and deploying AI models for real-world applications such as medical image classification and e-commerce analytics. Passionate about creating scalable, production-ready AI systems and modern web applications using React, Next.js, and TensorFlow.
University of Engineering and Technology Lahore
Bachelor of Science · Computer Science
August 1, 2023 – June 30, 2027
Govt. Islamia College Civil Lines Lahore
FSc · Pre-Engineering
June 1, 2021 – May 31, 2023
NIMIR Group of Companies
Frontend Development, Intern
June 1, 2024 – August 31, 2024
India
Pneumonia Detection using X-ray Imaging
June 1, 2026 – Present
Integrated multiple medical imaging datasets and preprocessing, including duplicate removal and stratified sampling for balanced training. Developed deep learning models using AlexNet, VGG16, ResNet, DenseNet, EfficientNet, and Vision Transformer, achieving up to 92% accuracy. Conducted comparative analysis of models to identify optimal performance architecture. Deployed an interactive Streamlit web application for real-time inference.
Plant Disease Classification
June 1, 2026 – Present
Designed a CNN model for multi-class plant disease classification using VGG16 and Inception-based architectures, achieving 96% classification accuracy. Improved model performance through fine-tuning and hyperparameter optimization. Developed and deployed a Streamlit web app with Grad-CAM visual explanations for predictions.
Olist E-Commerce Dataset Analysis
June 1, 2026 – Present
Performed data cleaning, EDA, and visualization using Pandas, Matplotlib, and Seaborn. Extracted insights from customer behavior and sales trends.
Clothing E-commerce Website
June 1, 2026 – Present
Developed a full-featured clothing e-commerce website using React.js. Designed reusable components and responsive UI for product browsing and display. Implemented structured frontend architecture for scalable development.
Mobile E-commerce Platform
June 1, 2026 – Present
Built a responsive e-commerce application using Next.js based on a Figma design. Implemented modern UI components and optimized layout for mobile and desktop devices. Integrated core frontend features for smooth user experience.
Cultural Fit Analysis
The candidate's project diversity, spanning medical imaging, plant disease classification, e-commerce data analysis, and frontend development, indicates a broad interest and willingness to explore different domains. This adaptability could be a positive cultural fit for a dynamic AI engineering role. However, the experience is primarily academic and an internship, suggesting a need for mentorship and integration into a professional team environment. The target role 'AI Engineer' aligns well with the candidate's academic projects, but the significant frontend development experience might indicate a split focus or a broader interest in software engineering beyond pure AI.
Soft Skills & Operational Fit
The candidate lists 'Leadership, Observation, Creative Thinking, Focused Work Ethic' as soft skills. While these are positive attributes, there is insufficient data from the provided materials (resume, project descriptions, test results) to objectively assess their operational fit or the practical application of these soft skills in a team or project context. The academic projects and internship show initiative and technical application, but not necessarily collaborative or leadership scenarios.