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Schedule Interview NowMy name is Zyad S. and I have over 1 years of experience in the tech industry. I specialize in the following technologies: JavaScript, Web Development, node.js, React, Next.js, etc.. I hold a degree in Bachelor of Engineering (BEng). Some of the notable projects I’ve worked on include: NASDAQ Financial Data LLM CSV Agent, Multi-AI Agent Conversational Platform, Real-Time Chat Widget with AI Integration, Desktop Application for Stock Trading Management, Zoom Meeting Automation Desktop App, etc.. I am based in Cairo, Egypt. I've successfully completed 9 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 goals—ensuring 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 today’s highly competitive landscape. I look forward to continuing to drive success for clients as a key professional at Softaims.
Main technologies
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Potentially possible
Innovative Solutions and Support
An intelligent financial analysis system that integrates a large language model (LLM) with real-time public NASDAQ data. It features a chatbot interface that enables users to ask natural language questions and receive deep, data-driven insights. Key Features: - Automated scraping and scheduled updates of NASDAQ public data - Natural language interface for querying financial trends and metrics - Integration with LLM to handle data interpretation and generation - RAG-based enhancement for financial definitions and background context
An interactive platform enabling real-time conversations between multiple AI agents, each powered by different language models or personas. Designed as a sandbox for exploring collaborative and competitive AI dynamics, allowing users to observe or guide discussions between diverse AI entities. Key Features: - Multi-agent architecture supporting simultaneous conversations between different AI models (GPT-4, Claude, etc.) - Unique personality, role, or objective assignment for each agent, enabling simulation of debates and collaborative sessions
An advanced, AI-powered conversational interface built with React and TypeScript. This chat widget combines beautiful UI design with intelligent response capabilities, making it perfect for customer support, lead generation, and user engagement applications. Key Features: - Intelligent conversation handling with natural language understanding - Context-aware responses that maintain conversation history - Responsive chat UI with dynamic layouts for desktop and mobile views - Voice message recording and playback integrated directly in the chat interface
A full-featured desktop application to help traders track, manage, and analyze stock trades with ease. Designed for both active and long-term traders, the app consolidates key trading tools into a single, intuitive interface. Key Features: - Portfolio management with real-time updates on holdings, profit/loss, and historical performance - Trade logging system to record buys, sells, fees, and notes - Live market data integration for real-time price updates and charts - Custom alerts and notifications for price thresholds, trade setups, or news events
A fully-functional desktop automation assistant for Zoom meetings that provides powerful meeting control features, built using Electron, React.js, TailwindCSS, and Puppeteer. Key Features: -Muting/unmuting participants and managing video/screen sharing permissions -Spotlighting participants and managing attendee lists -Tracking real-time participant statistics -Seamless communication between React UI and Puppeteer automation via Electron IPC
Bachelor of Engineering (BEng) in Computer
2019-01-01-2024-01-01