Masoud Ghasemi Masoud Ghasemi

Python Backend & AI Engineer

Building scalable APIs and AI models

Work Experience GitHub

Work Experience

Django Backend Developer

Papurasan Company
2025

Developed a comprehensive workflow management system using Django, implementing automated processes that increased operational efficiency by 25%. Managed database architecture and optimized query performance for medium-scale applications.

View Project: SornaFlow

Django Backend Developer

Royal Clinic
2025

Designed and developed a complete online appointment booking system for a medical clinic. Implemented patient management, scheduling algorithms, and social authentication features. Ensured HIPAA-compliant data handling and responsive UI.

View Project: Royal Clinic

AI Instructor

Perjestegan Institute
2025

Teaching AI and Python programming courses to students. Developed comprehensive curriculum covering machine learning fundamentals, neural networks, and practical implementations. Mentored students in building real-world AI projects.

Sample Project: Real Estate Prediction

Projects

utkface-deep-learning-service

A facial recognition project to predict age, gender, race, etc....the project is under construction.

Deep Learning TensorFlow CNN Fastapi
View Code →

TB Chest X-Ray Classifier

TB Chest X-Ray Classifier - Deep learning model for Tuberculosis detection using CNN architecture with 99.5% accuracy and 0.999 AUC score.

Deep Learning TensorFlow Tuberculosis detection Computer vision Medical AI CNN chest-xray Fastapi
View Code →

super-resolution-cnn-cifar10

Transform 16×16 low-resolution images to 32×32 high-quality versions using deep learning. Achieves PSNR 28.13 dB with lightweight CNN architecture

computer-vision deep-learning super-resolution tensorflow/cnn
View Code →

EuroSAT CNN Classifier

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

Python TensorFlow CNN Data Augmentation Image Processing
View Code →

Fraud-detection

Predicting transaction fraud using classification problems such as Guardian Boosting as well as user interfaces using Streamlite, Accuracy: 98% AUC-ROC

numpy pandas-dataframe gradientboostingclassifier randomforestclassifier xgbclassifier adaboostclassifier streamlit-webapp
View Code →

Django Online Shop

Website project focusing on BKD programming with various features

Django ajax mysql database html css
View Code →

media-database-cs50sql

Final project for CS50 SQL – A normalized media database to manage movies, series, contributors, users, comments, and views.

SQL SQL-SERVER SQL-Queries SQL-Schema
View Code →

food-store-database-mongodb

Food store database with all orders and database records

MongoDB NoSQL Database NoSQL Queries Nosql store
View Code →
More Projects →

Certificates

View All Certificates on GitHub →

About Me

Masoud Ghasemi

Backend & AI Developer

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.

University Education

Computer Engineering Student

Payam Noor University

Bachelor's Degree (B.Sc.) - In Progress

2023 - Present

Key Skills

Python Django FastAPI Ajax TensorFlow/Keras Scikit-Learn SQL/SQLAlchemy MongoDB Pandas NumPy Data Analysis Git Docker

Contact

Email

masudpythongit@gmail.com

Phone

(+98) 9010361944

LinkedIn

linkedin.com/in/masoud-ghasemi-748412381

Telegram

@Masoud_Ghasemi_sorna_fast

GitHub

sorna-fast