Haris Babar
Software Engineer
Auto Electronics — SMD Digital Advertising Display Solution
The Auto Electronics Project focuses on digital advertising and display solutions powered by SMD (Surface-Mounted Device) screens. The project aims to help businesses present high-quality visual advertisements and promotional content in public and commercial spaces.
My work involved contributing to the project’s technical development, focusing on web application functionality, interface design, debugging, and problem-solving to support the overall digital display solution.
The project combines digital display technology with software development to create practical solutions for presenting engaging visual content. The goal is to improve how businesses communicate promotions, showcase products, and deliver advertising messages through modern digital screens.
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65
RedVapt — Agentic AI Penetration Testing Framework
RedVapt is an agentic AI-powered penetration testing framework designed to streamline security assessments through intelligent automation and collaborative AI agents. The platform focuses on automating reconnaissance, security scanning, and vulnerability analysis while providing an interface for managing security assessments and reviewing findings.
The project combines AI-driven workflows with web application development to help organize security testing tasks, analyze potential vulnerabilities, and make assessment results easier to understand.
Built with a focus on intelligent automation, problem-solving, and user experience, RedVapt explores how agentic AI can support modern cybersecurity workflows and reduce repetitive manual effort.
The framework is intended for authorized security testing and controlled environments, with an emphasis on responsible vulnerability assessment.
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67
Multi-Agent AI System for Intelligent Workflow Automation
Designed and developed a multi-agent AI system featuring specialized agents for sales, technical delivery, marketing, and operations. The project focuses on coordinating intelligent agents to automate workflows, handle specialized tasks, and improve collaboration between different functional areas.
Built using Python, Google ADK, Model Context Protocol (MCP), and FastAPI, with a React.js interface for interacting with the system. Docker and GitHub supported containerization, development workflows, and project management.
The project combines agentic AI, backend engineering, and frontend development to create a modular system that can be extended with new agents, tools, and capabilities.
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69
Building Stacklist
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