AI Tinkerers Hackathon Team Formation - GenerationAI Hackathon - MCP Integration for Graph DBs

GenerationAI Hackathon - MCP Integration for Graph DBs

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 (12)

Name	Description	Team	Status
NeuronAI View Team	Team led by a Senior Data Scientist (SNCF) focused on Production AI Frameworks, Algorithmic ML, Python, R, SQL, and Econometrics.		Accepted
HolbertonParis View Team	Team consisting of Holberton AI/SWE students (B.S.) skilled in Python, C, and systems programming, including a deployed medical ML project.		Accepted
Bolo kan View Team	Team consisting of Maïmouna Sangaré, a Mining Exploitation student and Project Manager skilled in graphic design, video production, and digital content creation.		Accepted
Synapse Chain View Team	Synapse Chain: AI transforms static supply lists into dynamic graphs, predicting critical supplier risks.		Accepted
Train Guard 1st Place View Team	Team consisting of SNCF Data Scientist/NLP Engineer and Data Engineer, plus an Analytics Engineer, expert in Python, LLMs, dbt, Airflow, and Streamlit apps.		Accepted
CodeBase View Team	Team led by a Bordeaux AI Master's student and AI Intern who built DocGen_LLM, specializing in LLMs, RAG, Data Science, and Python.		Accepted
DR View Team	Team consisting of a Data Scientist (Flavorcloud) building production GenAI systems using GraphRAG, LLMs, NLP, Python, and AWS/GCP.		Accepted
GraphRAGgaeton 3rd Place View Team	Team of AI/ML Engineers (Avicenna.AI, TU Wien) and Full Stack Developer focused on production CV, LLMs, RLHF, and Graph ML solutions.		Accepted
DynaLink View Team	Team consisting of a Data/Software Engineer (INSA Lyon) and an AI/ML Engineer skilled in production ETL, MLOps, and LLM fine-tuning (Gemma, Vertex AI).		Accepted
TheWorst View Team	Generating summary...		Accepted
Arkef 2nd Place View Team	Design and validate complex software architectures with spec-driven nodes in a visual graph database - catch architectural flaws before writing code.		Accepted
LinkedInActivitySummary View Team	Use the LinkedIn Portability API to see your activity. Create a GraphDB/RAG to search the posts you liked, shared etc as your personal knowledge base.		Accepted