Team
MatadorUI
Project Concept
CareerFlow Agent is a sophisticated job-seeking ecosystem that transforms the traditional “chat-with-a-bot” experience into a stateful, generative workspace. By leveraging MCP, the agent bridges the gap between local user data—like LinkedIn profiles and GitHub repositories—and live job market APIs. The core innovation lies in its use of A2UI and AG-UI to deliver a truly generative interface; the agent doesn’t just provide text, but dynamically renders interactive Kanban boards and split-screen “Resume Labs” that synchronize in real-time with the agent’s internal state. Integrated via CopilotKit, the assistant “watches” the user’s browser context to offer proactive, surgically precise resume edits and application tracking. This project meets hackathon requirements by demonstrating a mastery of agentic orchestration, moving beyond static LLM responses to a high-fidelity, bi-directional UI that serves as a functional operating system for a modern, data-driven career search.
Entry
Status: Submitted
Last saved: May 09 at 7:55 PM PDT
Team Roster
Message board not available for this team yet.
Mohammed Roqa Team Lead RSVP Approved
AI Orchastrator at Green Route
Manage and build the app.
Mohammed Roqa is the Founder of Lync Digital and the AI Orchestrator at Green Route, an AI agent orchestration platform. With 15 years of experience, he is an AI Engineer focused on Research & Development, leading projects involving multi-agent systems and automated workflows. His work includes designing cloud infrastructure, API integrations, and Python-based deployments, architecting AI-powered pipelines, enterprise integration, and data visualization tools. Mohammed has expertise in full-stack development, DevOps, and system architecture, and is looking for knowledge sharing, community, customers, and co-founders. He is open to introductions and prefers to be contacted via email. He studied Information Systems and Information Technology at Lund University School of Economics and Management and Cairo University.
AI agent orchestration, multi-agent systems, automated workflows, cloud infrastructure design, API integrations, Python-based deployments, AI-powered pipelines, enterprise integration, data visualization tools, full-stack development, DevOps, system architecture, business intelligence.
Leading Green Route, an AI agent orchestration platform focused on multi-agent systems and automated workflows. Current tactical work involves designing cloud infrastructure, API integrations, and Python-based deployments (notably mroqa.pythonanywhere.com). Key activities include architecting AI-powered pipelines, enterprise integration, and data visualization tools. This builds on expertise in full-stack development, DevOps, and system architecture to ship scalable AI-enabled systems.
Saad Mansuri RSVP Approved
Student at Student
Not Seen.
Saad Mansuri is a Software Implementation Consultant at Paylocity, located in the Greater Chicago Area. He holds a BS in Computer Science from DePaul University and an MS in Computer and Information Systems Security/Information Assurance from NYU Tandon School of Engineering. With over 3 years of experience, Saad is open to new opportunities and is looking to share knowledge with peers and build community and friendships. He prefers warm introductions and can be reached via email. Saad is also a Graduate Student (Technical) working on AI governance projects.
AI governance, full-stack software engineering, knowledge sharing with peers, product reviews, Spring Boot, React, Docker, Azure, CI/CD pipelines, information security, and system implementation.
Current projects include developing AI governance initiatives as a Graduate Student. Recent technical builds feature a production-ready CRM system, the DePaul Marketplace (a student commerce platform), and ShifaLia (a medical crowdfunding platform). These systems utilize Spring Boot, React, and PostgreSQL, with deployments managed via Docker, Azure, and GitHub Actions CI/CD pipelines. Work also involves securing backend services using JWT and Spring Security.
Harsha Vardhan RSVP Approved
student at csulb
Not seen.
Harsha Vardhan is a Community Mentor at bolt.new and an AI Engineer (Application Development) tinkerer. He is currently building the openapi-mcp-generator, a popular TypeScript/Node.js tool with over 165K downloads, and is also working on api-as-agent and browser-flow, focusing on multi-agent orchestration and LLM-powered pipelines. Harsha has 4 years of experience and is skilled in implementing serverless AWS architectures, Redis job queues, and GraphQL/REST APIs. He is open to introductions and seeking co-founders (Technical) and founding engineers.
Agentic AI, multi-agent orchestration, LLM-powered pipelines, Model Context Protocol (MCP), backend engineering, serverless AWS architectures, Redis job queues, GraphQL/REST APIs, data engineering, RAG, open-source development, API design.
Currently building the **openapi-mcp-generator**, a TypeScript/Node.js tool with 165K+ downloads that converts OpenAPI specs into Model Context Protocol servers. Other active projects include **api-as-agent** and **browser-flow**, focusing on multi-agent orchestration and LLM-powered pipelines. Tactically, he is implementing serverless AWS architectures (Lambda, SQS), Redis job queues, and GraphQL/REST APIs while serving as a Community Mentor at **bolt.new** to support AI application development.