AI Tinkerers Hackathon Team Formation - Hackathon: Benchmarking Small Language Models in the Real World

Hackathon: Benchmarking Small Language Models in the Real World

Engineering Lead at Stealth AI Startup - Stealth AI Startup

Own AI-native architecture and backend pipelines remotely with no equity gimmicks.

Final round winners have been announced. View Results

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Browse Teams (10)

Name	Description	Team	Status
PiLLM View Team	Team consisting of an ENSIIE applied math master's student skilled in Rust/C++ control systems and a Paris-Dauphine ML engineer specializing in production Vertex AI.		Accepted
Coffe is life View Team	Team consisting of an AI CEO and a PhD NLP Scientist specializing in Haystack, FAISS, PyTorch, and cross-LoRA implementations for production-ready AI systems.		Accepted
Darkwood 1st Place View Team	Team consisting of a Sorbonne Executive MBA/CEO, a Polytech Paris-Saclay Tech Lead, and a C# game developer, skilled in Go, Symfony, React, and workflow automation.		Accepted
Tihado View Team	Generating summary...		Accepted
Muon 10x Data Scientist View Team	Team led by a Senior ML Engineer and IMT Atlantique alumna with 6 years experience in RAG, MoEs, and deploying LLMs via GCP and BentoML.		Accepted
G-one View Team	Generating summary...		Accepted
Polaris Finalist View Team	Team consisting of an AI engineer, a Python RPA consultant, and a CY Tech/IIT Chicago graduate specializing in TypeScript, LLM orchestration, and SAP automation.		Accepted
Training Expert Finalist View Team	Team consisting of senior data engineers from SNCF Réseau and PLF, skilled in Databricks, Spark, Python, and cloud infrastructure, building production-grade AI agent systems.		Accepted
CodeMind View Team	Team consisting of an ENSEA Paris AI engineer, a CY Transfer AI scientist, and a Sorbonne NLP intern specializing in LLMs, RAG, and full-stack development.		Accepted
bluebull Best Startup View Team	Team consisting of a Ublo software engineer and 42 Paris alumna specializing in React, TypeScript, and Python-based AI agentic workflows.		Accepted