Owlyn

Description

Co-developed Owlyn, a real-time multimodal AI interview and assistant system that analyzes audio, video, and workspace signals during technical sessions. Designed a distributed architecture with an Electron client, backend orchestration layer, and multiple specialized agents for voice interaction, visual analysis, and code reasoning, enabling sub-second conversational feedback and synchronized live transcripts.

Highlights

• Co-developed Owlyn, a real-time multimodal AI interview and assistant system capable of analyzing audio, video, and workspace signals during technical sessions.
• Designed a distributed architecture with an Electron client, backend orchestration layer, and multiple worker agents handling voice interaction, visual analysis, and code reasoning.
• Implemented low-latency streaming pipelines using WebRTC and LiveKit, enabling sub-second conversational feedback and synchronized transcripts.
• Integrated Redis for live session state and PostgreSQL for persistent storage, ensuring consistency across concurrent agent interactions.
• Engineered a multi-agent system where specialized agents handle conversation, workspace analysis, and post-session evaluation.

Technologies Used

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