Ahmad Shahram
AREEB
A passionate Full Stack Developer
I'm dedicated to creating innovative web solutions and bringing ideas to life through code.

My Services
Comprehensive solutions for your digital needs
Frontend Development
Building responsive and interactive user interfaces using modern frameworks like React, Next.js, and Vue.js.
Backend Development
Developing robust server-side applications with focus on scalability and performance.
Mobile Development
Creating cross-platform mobile applications with native-like performance.
Database Design
Designing and optimizing database structures for efficient data management.
Cloud Solutions
Implementing and managing cloud infrastructure for scalable applications.
AI Solutions
Developing intelligent applications with machine learning and natural language processing capabilities.
My Skills
Technologies I work with
Work Experience
Professional projects I've worked on

Umraniye Municipality Website
The official website of Ümraniye Municipality, providing residents and visitors with up-to-date information on municipal services, announcements, events, news, and e-government solutions, designed for easy access and user-friendly navigation.

Clinic Toka Website
Clinic Toka is a specialized rhinoplasty clinic, offering detailed insights into its surgical expertise, patient care, and aesthetic services. The website highlights procedures, team information, and contact details in a professional and user-friendly design to support patient trust and engagement.

İsmet Yıldırım Website
The official website of İsmet Yıldırım, Mayor of Ümraniye District in Istanbul. The site shares his biography, projects, municipal initiatives, news, and activities, providing residents with transparent and up-to-date information about local governance and community services.
Portfolio
Projects completed during my Computer Engineering studies

Enhancing Disease Diagnosis with Deep Learning: CNN and MobileNet for MRI Image Classification
I built a CNN and utilized MobileNet to classify MRI images, achieving up to 99.12% accuracy for early disease detection. I optimized the model using Adam and SGDM, ensuring high precision in image classification. My work with pre-trained networks like MobileNet demonstrates the power of deep learning in advancing medical diagnostics.

Credit Score Classification Using Machine Learning
I developed a machine learning model to classify a person's credit score based on their credit-related information. By leveraging algorithms like Logistic Regression, Random Forest, and Gradient Boosting, the model achieved high accuracy in predicting creditworthiness. This solution aims to assist financial institutions in making informed lending decisions efficiently.

Optimizing Logistics: Data Analysis and Classification for Efficient Product Transportation
This project focuses on analyzing and classifying transportation criteria to maximize efficiency in logistics companies. By leveraging data analysis and machine learning techniques, we aim to optimize routes, reduce costs, and improve delivery times for product transportation. The solution ensures smarter decision-making and streamlined operations in the logistics industry.

Hospital Appointment System: Multi-Layered Architecture Solution with C# and Windows Forms
I designed and implemented a Hospital Appointment System using a multi-layered architecture in C# and Windows Forms. This system simplifies appointment scheduling, patient record management, and doctor availability tracking, ensuring seamless healthcare operations. The multi-layered architecture improves scalability, maintainability, and separation of concerns, making the application robust and efficient.

Instagram Clone: Building a Social Media App with Kotlin
I developed an Instagram-like social media application using Kotlin, where users can sign in with their credentials, create posts, and comment on other users' posts. The app replicates core features of Instagram, focusing on user interaction, post management, and real-time engagement. This project demonstrates my skills in mobile app development and user-centric design.