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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

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  1. FDEOps FDEOps Public

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

    JavaScript 247 29

  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. ClearFrame ClearFrame Public

    Ad compliance review

    Python

  4. CodeQuorum CodeQuorum Public

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

    Python