Dlyra includes contextual AI Q&A so learners can ask questions against their source material inst...Dlyra includes contextual AI Q&A so learners can ask questions against their source material inst...
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Dlyra includes contextual AI Q&A so learners can ask questions against their source material instead of searching blindly. I built the experience to keep answers grounded in the content and make complex material easier to explore.
I built Vetra, an AI technical interviewer that makes interviews more structured, adaptive, and realistic.
Vetra conducts real-time voice interviews, explores a candidate’s experience, adapts its questions based on their responses, evaluates performance, and generates structured assessments.
I built the interview orchestration with LangGraph, added real-time voice interaction using Gemini Live, and created a separate evaluation layer for evidence-based scoring.
The goal was to create an AI interview experience that feels more like a real technical conversation than a chatbot.
Jonathan, keeping the evaluation layer separate from the interviewer is a smart choice. When the same model asks and scores, it tends to grade its own questions kindly. How are you handling silence and long pauses on the voice side? That was the hardest part for us on a voice AI build.
AlphaTrace is a crypto whale intelligence and copy-trading platform built around Hyperliquid. It tracks high-performing wallets, analyzes trading activity and market signals, and enables users to discover and follow whale strategies through a modern, data-driven interface.