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Nathan Maine

Senior Technical Program Manager | AI Builder | NVIDIA Inception Member

I build AI systems on hardware I own. 13 years of program management, 10 LLMs published on HuggingFace, and a DGX Spark running 24/7 on my desk.


NeuralForge

NeuralForge

GPU-native knowledge intelligence platform built on 6 NVIDIA technologies.

Your experts. Your GPU. Your data never leaves.

Ingest domain expertise at scale, build GPU-accelerated relationship graphs with RAPIDS cuGraph, and serve answers through any OpenAI-compatible tool. Built on NIM, TensorRT-LLM, Triton, NeMo Guardrails, cuGraph, and CUDA.

GitHub Tests License


What I Build

Project What It Does Stack
NeuralForge GPU-native knowledge intelligence with temporal knowledge graphs NIM, TensorRT-LLM, Triton, NeMo Guardrails, cuGraph
CMMC Compliance AI 10 fine-tuned LLMs for cybersecurity compliance (CMMC, NIST, HIPAA) QLoRA, GGUF, Ollama, DGX Spark
Governed LLM Gateway Policy-as-code gateway with tamper-evident audit trails FastAPI, SHA-256 hash chains, 103 tests
Agentic Evaluation Sandbox Doer/Judge/Adversary/Observer framework for agent testing Multi-agent orchestration
Self-Healing Agentic Workflows Circuit breakers, fallback chains, auto-reroute for autonomous agents Failure detection, recovery
garak Contributions Adversarial probes for NVIDIA's LLM vulnerability scanner Prompt injection, Unicode obfuscation

Hardware

  • NVIDIA DGX Spark (GB10, 128GB unified memory) running daily
  • Gemma 4 26B A4B for inference at 43 tok/s
  • 486K+ knowledge chunks from 80+ AI/ML experts
  • 10G office network connecting DGX Spark, NAS, and workstations

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