Founder building edge-first AI systems for manufacturing quality inspection.

I work across the full stack of applied industrial AI:

• computer vision and inference pipelines on NVIDIA Jetson
• FastAPI, React, TypeScript, and AWS cloud architecture
• inspection workflows, review systems, and factory operations tooling

I build systems that turn real-world factory processes into usable software:

• camera -> inference -> evidence -> review -> action
• edge-first deployment with optional cloud sync
• operator-facing tools designed for production environments

IntelFactor.ai — edge-first manufacturing intelligence for quality inspection, review workflows, and operational visibility.

This work combines:

• Jetson-based inference and deployment
• API and dashboard development
• manufacturing process understanding
• product and operational execution

• IntelFactor Inference Engine
  Edge-native quality inspection runtime for NVIDIA Jetson, designed for local operation with optional cloud sync.

• Applied AI product systems
  Backend APIs, dashboards, deployment workflows, and operator tools for industrial use cases.

• Manufacturing operations software
  Systems connecting factory domain knowledge with modern AI infrastructure.

Python FastAPI React TypeScript Docker AWS DynamoDB S3 CloudFront GitHub Actions NVIDIA Jetson TensorRT YOLO

I am most useful at the intersection of:

• technical product building
• industrial and manufacturing workflows
• AI deployment in real operating environments

• Product: intelfactor.ai
• GitHub: github.com/tonesgainz
• LinkedIn: linkedin.com/in/tonenv