Team
Jar Jar and the Tuba Geese
Project Concept
Our team - Jarren, Robin, and Tim - is building an agentic interface for risk triage and decision support. The system takes mock operational data, interprets risk signals, and dynamically renders UI components such as dashboards, decision cards, remediation roadmaps, and action plans. Users can Approve, Quarantine, or Deny items, with each choice producing adaptive reasoning, downstream impact, and next-step workflows. Jarren contributes AI/security, MCP tools, healthcare software, and secure data workflow experience. Robin contributes software development experience from AWS and interest in fast AI access patterns. Tim contributes technical architecture, AI software development, TypeScript, Python, and full-stack design. The goal is to demonstrate how generative UI can make AI agents more usable, explainable, and operationally valuable.
Entry
Status: Submitted
Last saved: May 09 at 6:04 PM PDT
Team Roster
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Jarren Calizo Team Lead RSVP Approved
Student at Portland State University
Jarren led the project direction, architecture, and final implementation of MCP Risk Cockpit. He set up and debugged the starter kit stack, including Next.js, CopilotKit, LangGraph, Gemini, Docker, Notion MCP, and the CopilotKit Intelligence services. He built the core generative UI route where Gemini returns a structured JSON UI spec, then React renders it through a safe component registry. He also implemented the MCP security inventory, attack-path views, prompt injection simulation lab, approval queues, policy preview, risk register, remediation roadmap, and Decision Impact Engine that turns Approve, Quarantine, and Deny decisions into audit packets, policy deltas, owners, SLAs, and risk reduction.
I am a graduate computer science student at Portland State University with a background in healthcare software, secure data workflows, and AI/security projects. I am currently exploring AI agents, MCP-based tools, LLM red teaming, and voice assistants. My goal is to build useful systems that connect strong engineering with trust, security, and real world impact.
I offer 2+ years of software engineering experience across healthcare, cloud testing, and secure data workflows, with hands-on work in C#/.NET, SQL, Python, TypeScript, AWS/LocalStack, and CI/CD. As a PSU MS CS student focused on security and AI, I can help with AI agents, MCP tools, LLM red teaming, voice assistants, and turning rough ideas into practical, trustworthy prototypes.
Currently tinkering on AI agents at the edge of security and software engineering: custom MCP servers, agent clients, LLM red teaming workflows, and voice assistants that turn vague user intent into grounded actions. I am also exploring AI for healthcare infrastructure, secure data workflows, and tools that make powerful systems feel more trustworthy, useful, and human.
Robin Ding RSVP Approved
AWS SWE Intern at Amazon
Robin contributed to product direction, security workflow framing, and demo validation. He helped shape the project around a real-world governance problem: how teams can safely review agent access to MCP tools before those agents read data, write records, or trigger side effects. Robin also supported testing the judge-facing flows, reviewing whether the generated dashboards and approval interfaces clearly communicated risk, blast radius, and remediation value.
I'm a second year student at UW Seattle for ECE
software develpment
Edge panel, fast access AI terminal
Tim Tao RSVP Approved
Student at University of Washington
Tim contributed to ideation, user-flow review, and final demo polish. He helped evaluate the project from a judge and user perspective, focusing on whether the app felt like true generative UI rather than a static dashboard. Tim also supported prompt testing across the enterprise cockpit, red-team workspace, executive board, and human-in-the-loop approval center, helping the team refine the experience around clarity, interactivity, and impact.
Tianen Tao, also known as Tim Tao, is a Student at the University of Washington. They are open to work and are looking for knowledge sharing with peers, community and friendships, and speaking opportunities. Tianen's preferred contact method is email, and they are open to introductions. Their tinkerer role is Software Developer with a focus on AI, and they can help with technical architecture. Their best LinkedIn URL is https://www.linkedin.com/in/tianen-tao-863214285.
technical architecture, knowledge sharing with peers, community and friendships, speaking opportunities, AI-focused software development, full-stack development, algorithmic problem-solving, TypeScript, Python
Current projects include the tennis-coaching-scheduler, a web-based application built with TypeScript to manage sports scheduling. Technical work also focuses on neetcode-submissions, a repository dedicated to algorithm problem-solving and data structures using Python. Additional activity includes CP-2 and shell scripting for development workflows. These projects demonstrate a focus on full-stack TypeScript development, Python-based logic, and hands-on software architecture.