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1
1
Kenya
1 year of experience
I am an undergraduate Information Technology student with a strong focus on cybersecurity, network architecture, and data analysis. I enjoy exploring practical environments; from local home labs using Docker and virtual environments to auditing networks and configuring infrastructure. I am eager to collaborate with developers, engineers, and creatives to build robust, scalable, and secure AI-driven solutions.

The solution is a hackathon onboarding ecosystem that helps participants move from registration to a working team setup with minimal friction by using a hackathon-specific onboarding page as the main source of truth for setup checklists, team assignment or team-creation instructions, submission rules, teammates, and mentor information, while an AI assistant only steps in when the page is unclear or when users need troubleshooting for issues like missing credits, promo codes, team confusion, or mentor lookup; the flow starts by identifying the participant’s hackathon and routing them to the correct page, then guides them through creating an AMD Developer Cloud account, claiming cloud credits, creating a Fireworks.ai account, redeeming promo credits, generating an API key, connecting that key to the AI builder, and linking GitHub so teams can access a boilerplate repository and collaborate quickly; at the team layer, it helps users find their team, team leader, teammates, Discord handles, GitHub usernames, team channels, repository links, and mentor details when available, and if data is missing or inconsistent it explains the limitation and points users back to the onboarding page or organizer instructions; the architecture should be model agnostic, token efficient, secure, observable, rate-limited, and evaluated for faithfulness, relevance, coherence, groundedness, and toxicity so the system remains reliable throughout the hackathon.
13 Jul 2026