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Schedule Interview NowMy name is Ashraf M. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Deep Learning, Computer Vision, Image Classification, Text Classification, etc.. I hold a degree in Master's degree. Some of the notable projects I've worked on include: AI-Powered Resume Screening & Candidate Matching, Sentiment Analysis System for Financial Market Prediction, AI-Powered Multilingual Chatbot for E-Commerce, Geospatial AI for Satellite Image Analysis, AI-Based Quality Control for Industrial Automation, etc.. I am based in Aswan, Egypt. I've successfully completed 19 projects while developing at Softaims.
Information integrity and application security are my highest priorities in development. I implement robust validation, encryption, and authorization mechanisms to protect sensitive data and ensure compliance. I am experienced in identifying and mitigating common security vulnerabilities in both new and existing applications.
My work methodology involves rigorous testing—at the unit, integration, and security levels—to guarantee the stability and trustworthiness of the solutions I build. At Softaims, this dedication to security forms the basis for client trust and platform reliability.
I consistently monitor and improve system performance, utilizing metrics to drive optimization efforts. I'm motivated by the challenge of creating ultra-reliable systems that safeguard client assets and user data.
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hitotec company
Developed an AI-driven recruitment assistant that analyzed resumes, job descriptions, and candidate profiles using NLP-based text matching. The system ranked applicants based on skill relevance, exper
Developed an AI-driven sentiment analysis tool that analyzed financial news, social media, and earnings reports to predict market trends. By leveraging transformer-based models like AraBERT and FinBER
Designed and deployed an AI chatbot for an international e-commerce platform to handle customer queries, order tracking, and product recommendations. The chatbot was trained on GPT-4, BERT, and multil
Designed an AI model for land use classification and environmental monitoring using satellite and drone imagery. The model processed high-resolution images to detect urban expansion, deforestation, an
Developed a computer vision system for defect detection in manufacturing and assembly lines. Using CNN-based anomaly detection, the system analyzed real-time images of products to identify defects, in
Master's degree in Computer science