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nareshganesan/README.md

Hi, I’m Naresh Ganesan

I’m a founder, builder, and applied AI architect focused on designing and shipping production-grade AI systems.

My work sits at the intersection of AI, distributed systems, and product engineering— building systems that move from idea → architecture → real-world usage.


What I’m Working On

  • Building AI-first products centered around:
    • Intelligent search and knowledge systems
    • Agent-driven workflows for complex business processes
    • Cost-aware, observable LLM platforms
  • Designing systems where reliability, scale, and determinism matter as much as model quality
  • Experimenting with agent orchestration, retrieval architectures, and workflow engines

I tend to stay quiet about specifics until things are live—but everything here is grounded in real production constraints.


Areas of Focus

  • Generative AI & LLM systems (RAG, agents, orchestration)
  • Search & knowledge platforms (from scratch → production)
  • Distributed systems & workflow engines
  • AI inference at scale (cost, latency, observability)
  • System architecture & design trade-offs

How I Think About Systems

  • AI is a system, not a model
  • Determinism beats cleverness in production
  • Control flow belongs in code, not prompts
  • If you can’t explain the failure mode, it’s not done

Currently Exploring

  • Agent architectures that don’t collapse under complexity
  • Retrieval + reasoning patterns beyond vanilla RAG
  • Cost governance and observability for LLM-heavy systems
  • Perception-driven systems across text, vision, and structured data

Collaboration

I’m always open to collaborating on:

  • AI-first products with real users
  • Search, retrieval, and agent-heavy systems
  • Infrastructure or tooling that makes AI systems saner to build and operate

If you care about shipping, not just experimenting, we’ll probably get along.


Contact

For work-related conversations, please email first with brief context.
Unsolicited calendar invites are declined.


Most of my serious work lives in private repos or client environments. This profile reflects how I think, not the full surface area of what I build.

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