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Kaizer-1/README.md

Kaizer Dewaswala. Most of what I build sits around the model rather than inside it: routing each question to the right source, spending compute only where it pays off, and checking answers before anyone relies on them. AI systems engineer in the final year of Information Science at RV College of Engineering, Bengaluru. Currently a software intern at Galaxy Weblinks.
Company Brain, knowledge ingestion: 6 s, was 52 s
Respondr, emergency call triage: under 30 s, was 2–3 min
LLM Council, cost of multi-agent debate: 42%, of the cost, at 94% of the quality
Galaxy Weblinks, reviewing agent output: 65%, of the manual review, roughly
Tools: Python first, then JavaScript, C++ and SQL. LangGraph, LangChain and MCP for agents; FastAPI, Node and Express for services; Postgres and Neo4j for data; React and Next.js for interfaces; an ESP32 when the problem needs hardware.
Contactdewaswalakaizer@gmail.comLinkedIn

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