Developed a comprehensive workflow management system using Django, implementing automated processes that increased operational efficiency by 25%.
Designed and developed a complete online appointment booking system for a medical clinic with HIPAA-compliant data handling.
Teaching AI and Python programming courses. Developed comprehensive curriculum covering ML fundamentals, neural networks, and practical implementations.
A facial recognition project to predict age, gender, race, etc....the project is under construction.
View Code →TB Chest X-Ray Classifier - Deep learning model for Tuberculosis detection using CNN architecture with 99.5% accuracy and 0.999 AUC score.
View Code →Transform 16×16 low-resolution images to 32×32 high-quality versions using deep learning. Achieves PSNR 28.13 dB with lightweight CNN architecture
View Code →Satellite Image Classification using CNN - EuroSAT Dataset Deep Learning model achieving 96.4% accuracy in land use recognition TensorFlow implementation with comprehensive analysis and visualizations
View Code →Predicting transaction fraud using classification problems such as Guardian Boosting as well as user interfaces using Streamlite, Accuracy: 98% AUC-ROC
View Code →Final project for CS50 SQL – A normalized media database to manage movies, series, contributors, users, comments, and views.
View Code →
Implementing scalable APIs, database management, and
developing robust architectures using Python.
Proven track record in building machine
learning models with over 98% accuracy in image processing and medical diagnostics, utilizing
TensorFlow, Keras, and Scikit-learn.
Eager to collaborate in innovative teams to develop
intelligent and scalable systems in the fields of data analytics and backend services.
Payam Noor University
Bachelor's Degree (B.Sc.) - In Progress
2023 - Present