Qasim Ali
ARTIFICIAL INTELLIGENCE
Sargodha, Punjab,PB
Summary
Key Projects
1st: Pneumonia Detection System (Deep Learning)
GitHub: [https://github.com/qali74790-lab/Pneumonia-Detection-CNN]
Built a Convolutional Neural Network (CNN) to automate the detection of pneumonia from pediatric chest X-rays.
Achieved 94% validation accuracy and high Recall, ensuring critical cases are not missed by the AI.
Solved data scarcity issues by implementing image augmentation techniques (zooming, flipping, shearing) to prevent overfitting.
Tech Stack: Python, TensorFlow, Keras, Matplotlib.
2nd : Lahore Real Estate Price Predictor | Python, Scikit-Learn, Streamlit
GitHub: [https://github.com/qali74790-lab/Lahore-House-Price-Predictor]
Developed an end-to-end Machine Learning pipeline to predict housing prices in Lahore with 82.6% accuracy using a Random Forest Regressor.
Engineered features from 18,000+ scraped listings by standardizing mixed area units (Marla/Kanal to Sqft) and cleaning unstructured text data using Pandas.
Reduced dimensionality of high-cardinality location data (500+ areas) and applied One-Hot Encoding to successfully capture location-based price premiums.
Deployed the model as an interactive web application using Streamlit, allowing users to get real-time price estimates based on location and amenities.
Overview
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Certification
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Languages
Work History
Artificial Intelligence Intern
NEXGEN GUARDS
10.2025 - 12.2025
- Detail-oriented Software Engineering graduate and Microsoft Certified (Azure AI-900) professional. Recently developed a 94% accuracy Medical AI model using Deep Learning. Seeking AI internship to apply skills in TensorFlow, Python, and Computer Vision to solve real-world problems.
- Evaluated the performance of various classifier algorithms, selecting those with optimal results for specific use cases.
- Enhanced AI algorithms by implementing machine learning techniques and data analysis methods.
Education
Bachelor of Science - Software Engineering
University Of Lahore
Lahore, Punjab, Pakistan 05.2001 -
Skills
Core AI & ML: Deep Learning (CNNs), Computer Vision, Model Evaluation (Recall/Precision), Data AugmentationLanguages & Libraries: Python, TensorFlow, Keras, NumPy, Pandas, MatplotlibTools & Cloud: Jupyter Notebook, Google Colab, Git/GitHub, Microsoft Azure AI
Certification
Microsoft Certified: Azure AI Fundamentals (AI-900) — Microsoft
Timeline
Microsoft Certified: Azure AI Fundamentals (AI-900) — Microsoft
12-2025
Artificial Intelligence Intern
NEXGEN GUARDS
10.2025 - 12.2025
Bachelor of Science - Software Engineering
University Of Lahore
05.2001 -