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
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.