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nipundavid/README.md

Nipun David

AI Systems Architect & Builder

Building intelligent systems across:

  • GenAI
  • Retrieval Systems
  • Multi-Agent Architectures
  • Distributed Systems
  • Human Interfaces

From J2ME games → XR systems → Enterprise GenAI.

Current Focus

  • Enterprise RAG systems
  • Multi-agent orchestration
  • AI evaluations
  • Text-to-SQL systems
  • Guardrails & AI safety

Engineering Philosophy

I enjoy building systems that are:

  • production-oriented
  • scalable
  • explainable
  • resilient
  • useful in the real world

Featured Systems

Enterprise RAG Platform (WIP)

Production-oriented retrieval architecture with ingestion pipelines, evaluation systems, observability and retrieval optimization.

Multi-Agent Orchestrator (Planned)

Agent orchestration framework with retrieval grounding, memory patterns and evaluation-driven execution.

AI System Design Notes (WIP)

Public engineering notebook covering retrieval systems, agents, distributed systems and AI infrastructure.

Journey

J2ME Games → XR → Metaverse → GenAI Systems

Writing

Coming soon.

Connect

  • LinkedIn
  • Website

Pinned Loading

  1. gRPC-nodeJS gRPC-nodeJS Public

    simple gRPC implementation for nodeJS

    JavaScript 1

  2. PythonPlaybook PythonPlaybook Public

    Sample code snippets for python

    Python 1

  3. React-Context-Example React-Context-Example Public

    HTML 1

  4. ShoppingCart ShoppingCart Public archive

    A simple shopping cart front end only built using React and Redux

    CSS 1

  5. prompt-manager-cli prompt-manager-cli Public

    A command-line tool to create, search, and manage reusable prompts.

    Python

  6. llm-cascading llm-cascading Public

    Why intelligent routing is becoming the most important cost, governance, and sustainability decision in enterprise AI.