Qvio - Interactive Video Learning Platform

About the Project

I contributed to Qvio's development as a senior developer, focusing on backend architecture guidance and AI system optimization. While the primary development was led by my colleague Goncalo using Node.js, I provided extensive code review across 400k+ lines of codebase, architectural consultation, and direct contributions to AI functionality. The platform transforms passive videos into interactive experiences where viewers can ask questions and receive validated answers authored by content creators. I worked on optimizing OpenAI API integrations, ensuring safety guardrails, and contributed to the overall system design that prevents AI hallucinations while maintaining engaging educational interactions.

Key Features

• Two-way video conversation technology
• Author-controlled AI response system
• Real-time educational interactions
• AI hallucination prevention mechanisms
• OpenAI API integration with safety guardrails

My Role

• Code review
• Architecture guidance
• AI optimization
• Backend consultation

Technical Challenges

• Guiding Node.js architecture decisions
• Optimizing OpenAI API performance and cost
• Implementing comprehensive safety systems
• Reviewing and mentoring across large codebase