Damascus, Syria.
+963947170750
As a highly skilled full-stack developer and AI engineer with six years of experience and a degree in AI Engineering, I have been recognized for my exceptional achievements among my peers at AIU University. My proficiency is further attested by my certifications in IBM Data Science, AI, DevOps, and Software Engineering. My success is driven by my passion for exploring data and leveraging it to achieve business goals. I am currently seeking new opportunities and am open to relocation if sponsorship is provided.
Here I will show you my favorate projects
At iZone Solutions, I served as the lead developer, spearheading our team to construct the iZone Ticketing System—a robust, user-friendly solution achieved via close collaboration with web developers for seamless backend-frontend integration.
As a frontend developer, I leveraged my expertise to create the official website for ADINSO, a prominent cybersecurity company, by seamlessly translating the Adobe XD design into a fully functional and visually engaging website.
As an AI engineer specializing in computer vision, I collaborated with Unifi Solutions Company's AI team to create an Automated Plate Number Recognition system. Our work involved implementing smart search algorithms to automate data collection and optimize AI models, resulting in highly accurate and efficient plate number recognition.
I collaborated with Unifi Solutions Company's AI team to develop an Automated Plate Number Recognition system. Our work involved implementing smart search algorithms to automate data collection and optimize AI models, leading to highly accurate and efficient plate number recognition results.
With my proficiency in the Django web framework, I collaborated with Kuwait Net's developers to create a robust and scalable solution for the Kuwait National Funds project, meeting the organization's specific needs.
Leveraging Python and its AI libraries, I created a sophisticated data pipeline for building a Machine Learning-driven Job Posting Salary Predictor. The process encompassed gathering, cleansing, and processing pertinent data, followed by model training and refinement. Ultimately, this solution delivers an accurate salary prediction tool for job postings.
I completed the IBM backend capstone project, demonstrating my expertise in designing and deploying backend services and applications. This involved creating microservices and REST APIs with Flask, integrating and querying MongoDB databases within Django apps, and containerizing them using Docker before deploying them via Kubernetes, OpenShift, and serverless architecture.
During the DevOps Capstone Project, I utilized my expertise as a DevOps engineer to construct the Accounts Service Management app. By leveraging microservices, containers, and serverless architecture, I developed a scalable and user-friendly application while prioritizing continuous integration and delivery processes.
Throughout the IBM Data Science Capstone project, I showcased my adeptness in data science and machine learning by executing end-to-end responsibilities, including data collection, wrangling, exploratory analysis, visualization, model development, and evaluation. Employing Python, I generated and contrasted multiple machine learning models (SVM, decision trees, KNN), ultimately delivering a comprehensive report with optimal model selection and predictive analysis for stakeholders.
I successfully developed a streamlined Odoo ERP project specifically designed for the automotive industry, focusing on car sales and management.
I developed a robust Django blog with essential features, including user authentication and commenting. Implemented Django Rest Framework for a seamless API experience. Utilized throttling, permissions, and caching techniques for enhanced security, access control, and optimized performance.
Syria, Damascus
Damascus, Syria
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