niranjanagaram (niranjanagaram)
Web3 Data Architect | Agentic AI 10 years + veteran shipping on-chain pipelines in <48hr. Bridiging the gap between raw data & AI Sprints: niranjanagaram.com
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Just landed on Farcaster. 🔵 Moving from 10y in Enterprise Data to high-velocity Web3 Data Sprints. I bridge the gap between raw on-chain data and Agentic AI. Shipping custom indexers and RAG pipelines in <48h. 🔗 niranjanagaram.com Who else is building at the intersection of AI and On-Chain data? /dev /base /ai
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Most RAG pipelines fail because the data layer is stale. I’m currently architecting a Real-Time Agentic Pipeline that triggers on-chain events via Base RPCs. The Stack: Python (FastAPI) for the Agent logic Substreams for low-latency indexing Vector DB for contextual RAG Moving from raw event logs to an actionable AI response in < 500ms. Bridging 10y of Enterprise Data with Web3 speed. If your dApp is lagging, my 48-hour data sprints are open. 🔗 niranjanagaram.com #dev #base #ai #dataengineering
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