asands44@gmail.com (703) 909-7357

Sovereign AI Lab

Build AI you can trust. This live portfolio shows how I design edge-first, privacy-preserving AI systems for public sector and regulated industries.

Architecture Overview

Edge-first design with optional cloud analytics

System Architecture

┌─────────────────────────────────────────────────────────────┐
│                      Edge Device                             │
│  ┌──────────────┐  ┌──────────────┐  ┌──────────────┐      │
│  │ NVIDIA Jetson│  │  Local LLM   │  │     RAG      │      │
│  │  Orin Nano   │  │ + Guardrails │  │  Over PDFs   │      │
│  │  (Vision AI) │  │              │  │              │      │
│  └──────┬───────┘  └──────┬───────┘  └──────┬───────┘      │
│         │                  │                  │               │
│         └──────────────────┴──────────────────┘               │
│                            │                                  │
│                   ┌────────▼────────┐                        │
│                   │ Anonymization   │                        │
│                   │    Layer        │                        │
│                   └────────┬────────┘                        │
└────────────────────────────┼──────────────────────────────────┘
                             │ Metrics Only
                             ▼
                   ┌─────────────────┐
                   │ Cloud Dashboard │
                   │ (Optional)      │
                   └─────────────────┘
                

Local LLM with RAG

View Repository
$ ollama run llama2 --rag ./documents/
User: What is our data retention policy?
Assistant: According to the policy document...
Source: local PDF - data_policy.pdf (page 3)
✓ No data sent to cloud
✓ All processing on-device
# Quick Start - Local LLM
git clone https://github.com/asands24/sovereign-ai-llm
cd sovereign-ai-llm
docker-compose up
# Access at http://localhost:8080

Edge Vision Metrics

View Repository
$ python vision_metrics.py --device jetson
Processing: frame_0001.jpg
Detected: 3 objects
Inference: 45ms
Publishing metrics:
{ "count": 3, "avg_latency_ms": 45 }
✓ Raw images stay local
# Quick Start - Edge Vision
git clone https://github.com/asands24/sovereign-ai-vision
cd sovereign-ai-vision
./setup_jetson.sh
python run_local.py

What You Can See

Edge Vision

NVIDIA Jetson Orin Nano with local inference for real-time computer vision applications

Local LLM Chat

On-device language models with guardrails and RAG over your PDFs - no data leaves your infrastructure

Cloud Analytics

Optional cloud dashboards with anonymized metrics only - raw data stays local

Why It Matters

Data Stays Local and Compliant

Meet GDPR, HIPAA, and national security requirements with on-premises processing

Proven Patterns

Battle-tested architectures for national and enterprise sovereignty requirements

Fast Paths to Scale

Move from pilot to production with confidence using proven deployment patterns

How It Works

1. Edge GPU Processing

Vision models run locally with TensorRT or ONNX optimization for real-time inference without cloud dependencies

2. Local LLM with Guardrails

Language models run on-device with policy enforcement and RAG capabilities over your documents

3. Anonymous Metrics Only

Optional cloud dashboards receive only aggregated, anonymized metrics - never raw data