Role: Founder, Systems Architect
Summary: VaultScaler is a secure, offline-first edge AI orchestration platform designed to deploy, monitor, and update intelligent agents across a fleet of devices. Initially developed for casino-grade surveillance, it supports OTA delivery, telemetry logging, and sovereign infrastructure.
View Project →Role: Creator & Maintainer
Summary: ForgeScaler is the DevOps backbone for VaultScaler nodes — a memory-aware orchestration layer supporting versioned deployments, live system telemetry, self-documenting reflections, and state sync across edge hardware. It’s built with Terraform, FastAPI, Helm, and custom GitHub Actions.
View Project →Role: Builder
Summary: Built a workstation-powered air-gapped environment using a 64GB RAM x86 box for testing LLMs, facial recognition, and inference pipelines. Includes Jetson Orin NX integration and real-time pipeline simulation with embedded video devices.
Role: Developer / Vision Lead
Summary: A privacy-first facial recognition system that can operate fully without internet access. Users can label “friends,” and the model adapts locally without cloud data leaks. Designed for boutique surveillance and domestic AI agents.