Team
Trantor
Project Concept
Trantor is tour Synthetic Data Generation.
🚀 The Problem
Synthetic data generation is complex - requires deep knowledge of LLM APIs, structured outputs, batch processing
No unified interface - developers need to learn different patterns for each use case
HuggingFace integration is manual - no seamless workflow from generation to dataset publishing
Real-world patterns are scattered - sentiment analysis, instruction tuning, reasoning datasets all need different approaches
Entry
Status: Not Started
Team Roster
Message board not available for this team yet.
Chrys NIONGOLO Team Lead RSVP Approved
AI TECHLEAD at Eviden / ATOS
Chrys Niongolo is an AI TechLead at Eviden/ATOS, specializing in artificial intelligence and software development. With a strong focus on web technologies and machine learning, he actively contributes to innovative projects on GitHub, including 'vite-chatgpt-ui' and 'RAGDojo'.
AI development, web technologies, machine learning applications, JavaScript development, Python programming, DevOps, interactive web interfaces, AI implementation strategies
Currently working on many projects, focusing on AI and web development technologies. Developing interactive web interfaces and machine learning applications using JavaScript and Python. Implementing advanced AI strategies at Eviden/ATOS, with an emphasis on research and development in artificial intelligence systems and innovative software solutions.
Hamze GHALEBI RSVP Approved
ex CTO at Welcome Account
CTO @ Welcome Place |I write the bugs that future AIs will be paid to fix. | AI Maximalist & Architect of Artisanal Technical Debt | Rust 🦀 supremacy |
financial inclusion for newcomers, fintech solutions, technology strategy, product innovation, agile development, agentic software, autonomous systems, LLMsOps, AI, deep-tech, mentoring, business model innovation
Leading development of fintech platforms at Welcome Place that enhance financial inclusion for newcomers across Europe. Overseeing architecture and deployment of agentic software and autonomous systems integrating LLMsOps to optimize user experience and operational efficiency. Driving agile product innovation focused on scalable AI-powered financial solutions tailored to diverse newcomer needs. No specific project names mentioned.