I specialize in the technical verification of gaming systems, performing exhaustive manual tests to detect logic errors and design inconsistencies. Through detailed documentation of response times and system stability, I ensure that the final build meets all performance benchmarks and delivers a seamless experience to the customer.
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.
This is a practice Virtual Assistant project demonstrating task organization, prioritization, scheduling, and status tracking. I created a simple task tracker to show how I can organize administrative work efficiently. This is a self-created sample and not paid client work.