Team
Xgiverny
This team is at maximum capacity.
Project Concept
Developed an AI-powered interview platform that conducts automated Round 0 assessments.
Built a fully interactive voice-based interview experience for cultural, technical, and problem-solving evaluations.
Designed a self-service interview flow allowing candidates to complete assessments anytime within a 7-day window.
Implemented real-time speech analysis, transcripts, and multi-phase evaluation logic.
Created a scalable and automated candidate screening system to reduce recruiter workload and speed up hiring.
Delivered a professional web interface integrating VAPI, React, and dynamic interview phases.
Entry
Status: Submitted
Last saved: November 15 at 6:17 PM CET
Team Roster (team is at max capacity)
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François ANDREANI Team Lead
Student at Ecole Polytechnique
François designed, architected, and built the full RoundZ platform end-to-end. He implemented the autonomous voice interview experience using the VAPI real-time agent API, created the useVapi hook for connection management, speech streaming, transcript capture, and phase logic. He developed all interview phases (FIT, TECH, BRAINTEASER), engineered call lifecycle automation, and built the complete frontend with React, TypeScript, Vite, TailwindCSS, and shadcn/ui.
He handled deployment on Vercel, environment configuration, project orchestration, product direction, and narrative design. François also led dataset preparation and defined the autonomous agent logic, failure modes, and scalability strategy.
My name is Francois Andreani, I am a student at Ecole Polytechnique and HEC Paris in the Msc Data Science and AI for Business. I am passionate about Data Science, Machine Learning, and all their applications to solve real world problems. I am someone extremely curious, with great adaptability, and a entrepreneurial mindset.
I’m passionate about the intersection of AI, data, and entrepreneurship — using technology to build products that solve real problems and create impact at scale. I’m especially interested in applied machine learning, product analytics, and how AI can enhance user experience and decision-making. I love connecting with people who share a builder mindset and enjoy turning innovative ideas into reality.
Luc Nelson TEJODONKENG MENKEM
Etudiant at Ecole polytechnique
Luc contributed to backend logic preparation, testing, and quality assurance. He assisted in validating the interview flow, identifying edge cases in call behavior, and refining the transcript output format for future scoring models. He also supported prompt engineering for the AI interviewer, phase-specific question tuning, and conducted end-to-end scenario testing to ensure agent reliability under different network and microphone conditions.
Nelson Tejodonkeng, also known as Luc Nelson TEJODONKENG MENKEM, is the President of X Afrique and a data‑science enthusiast based in Palaiseau, Ile‑de‑France, France. He holds degrees from École Polytechnique and HEC Paris, where he studied applied mathematics, data and finance. With two years of experience, he combines his academic background with practical data‑science projects, describing himself as a tinkerer in the field. Currently open to new opportunities, he continues to develop his expertise while leading X Afrique.
Data science, Finance, Machine learning, Statistical analysis, Data analysis, Applied mathematics, Strategy consulting
no projects mentioned
Ayush Singh
Student at HEC Paris
Ayush contributed to frontend UI integration and user-flow refinement. He helped structure the multi-phase interview screens (FIT/TECH/BRAINTEASER), improved layout responsiveness, and supported styling with TailwindCSS and shadcn/ui components. He also participated in testing the VAPI agent interactions, validating microphone permissions, and ensuring smooth candidate onboarding through the interview entry link.
Build fast, ship fast
AI, Datascience, AI
HR co-pilot