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Schedule Interview NowMy name is Osama A. and I have over 1 years of experience in the tech industry. I specialize in the following technologies: Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects Iโve worked on include: Real-Time Stock Market Analysis and Prediction System ๐, RAG-Question Generation, Financial Data Analysis CrewAI Project ๐, Chest X-ray Detection ๐ซ, Research Paper QA Assistant (RAG) ๐, etc.. I am based in Cairo, Egypt. I've successfully completed 6 projects while developing at Softaims.
I'm committed to continuous learning, always striving to stay current with the latest industry trends and technical methodologies. My work is driven by a genuine passion for solving complex, real-world challenges through creative and highly effective solutions. Through close collaboration with cross-functional teams, I've consistently helped businesses optimize critical processes, significantly improve user experiences, and build robust, scalable systems designed to last.
My professional philosophy is truly holistic: the goal isn't just to execute a task, but to deeply understand the project's broader business context. I place a high priority on user-centered design, maintaining rigorous quality standards, and directly achieving business goalsโensuring the solutions I build are technically sound and perfectly aligned with the client's vision. This rigorous approach is a hallmark of the development standards at Softaims.
Ultimately, my focus is on delivering measurable impact. I aim to contribute to impactful projects that directly help organizations grow and thrive in todayโs highly competitive landscape. I look forward to continuing to drive success for clients as a key professional at Softaims.
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IBM Egypt
This project is a sophisticated real-time stock market analysis and prediction system that leverages AI agents to fetch financial news, analyze market sentiment, and generate short-term trading signals. Built using the crewai framework, the system integrates with advanced language models and financial APIs to provide actionable insights for traders and investors.
This application processes uploaded PDF documents, extracts meaningful content, and generates insightful questions using AI models. It leverages LangChain, Google Generative AI, and other advanced tools to provide high-quality, customizable questions.
This project leverages the CrewAI framework to create a team of AI agents that work together to retrieve, analyze, and generate insights from financial data. The agents are designed to handle both structured (CSV) and unstructured (PDF) data sources, providing meaningful insights based on user queries.
This project is a Chest X-ray Detection web application developed using Streamlit and YOLO. The app allows users to upload chest X-ray images and performs real-time predictions using a pre-trained YOLO model. The result includes the predicted label and the associated probability.
This project is a Research Paper QA Assistant built using Retrieval-Augmented Generation (RAG). It allows users to upload PDF research papers, generates a text summary, and enables an interactive Q&A system to answer questions about the paper's content.
Bachelor of Computer Science (BCompSc) in Computer science and Artificial Intelligence
2020-01-01-2024-01-01