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pyalwin/README.md

Arun Venkataramanan

Senior Software Engineer building applied AI systems, agent tooling, and retrieval infrastructure.

Integrations Architect at Ottimate, working on multi-tenant ERP integration platforms, deterministic RAG pipelines, and autonomous coding agents. 12+ years across product engineering, fintech SaaS, and platform architecture.

Based in Bangalore. Open to remote and international roles.

What I'm building

  • Retrieval that actually works for structured documents — Graph-aware RAG that follows cross-references the way a human reader would, not just vector similarity. See EngramDB.
  • Agent memory that persists across sessions — So coding agents stop rediscovering the same codebase on every run. See Codemesh.
  • Production AI with structural guarantees — Deterministic citation, token routing, HITL confidence scoring. See Cortex and AgreedPro.
  • Developer tools for the agent eraBifrost (Electron UI for Claude Code) and Frameforge (MCP image-gen server on npm).

Pinned repos above have full write-ups.

Writing

Articles on building production AI — retrieval design, agent architecture, and the engineering decisions behind them.

Full archive: Medium · dev.to

Elsewhere

Portfolio · LinkedIn · Email

Pinned Loading

  1. codemesh codemesh Public

    Intelligent code knowledge graph for AI coding agents. Reduces cost by up to 44%, speeds up exploration by up to 57%, and boosts smaller model quality to match Opus.

    TypeScript

  2. bifrost bifrost Public

    UI I always wanted for claude code cli

    TypeScript

  3. cortex cortex Public

    Document Intelligence

    TypeScript

  4. engramdb engramdb Public

    Schema-Aware Hybrid Retrieval for Multi-Hop Legal Reasoning

    Python

  5. frameforge frameforge Public

    MCP server for generating UI mockups using Google Gemini image generation

    JavaScript