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suboss87/README.md

Subash Natarajan

Field CTO and AI Systems Architect focused on taking agentic AI from prototype to production.

I build and scale AI systems for real operating environments: orchestration, reliability, guardrails, cost control, and measurable business outcomes.

What I do

  • Design production-grade multi-agent architectures
  • Build AI platforms with observability, evaluation, and safety controls
  • Help teams move from PoC to reliable enterprise deployment

Featured work

Second brain for Forward Deployed Engineers: engagement memory + execution skills across discovery, delivery, and handoff.

Open-source AI video generation reference architecture with routing, retries, cost controls, safety gates, and batch orchestration.

Multi-agent code review system that compares reviewer philosophies, highlights conflicts, and improves confidence through consensus.

AI-driven ad compliance review workflow for high-volume creative validation.

Open source contributions

  • Contributor to OpenClaw: reliability and multi-agent fixes, including memory isolation and streaming robustness.

Writing and thought leadership

Contact

Pinned Loading

  1. FDEOps FDEOps Public

    Forward deployed engineering skills for AI coding agents.

    JavaScript 220 30

  2. SeedCamp2.0 SeedCamp2.0 Public

    Open-source AI video generation reference architecture: routing, retries, cost controls, safety gates, and batch orchestration.

    Python 2 1

  3. CodeQuorum CodeQuorum Public

    Multi-agent code review system: compare reviewer philosophies, detect disagreements, and increase confidence through consensus.

    Python 1