Ra
AI Tools Ralph
Cross-platform autonomous AI development with 10+ agents. Deliberate context rotation for long-running tasks on macOS, Linux, Windows, and cloud.
Gemini CLIClaude CodeOllamaOpen Source
AI Systems Engineer
AI Projects & Solutions
I design and deploy AI that thrives in the real world—where bandwidth is scarce, safety matters, and operations teams need explainable telemetry.
Latest Focus
AI agents, embodied robotics, XR
Stack
Claude Code · Cloudflare · Raspberry Pi · Android XR
Focus Areas
Spatial Computing · AI Agents · Accessibility
Productivity
2,652 commits · 76 projects in 2025
Featured AI Projects
Edge AI drone detection platform
Dronevade
Custom YOLOv8 models optimized for Jetson and Raspberry Pi deployments
RF + thermal sensor fusion with automated threat scoring
Operator dashboard streaming proactive alerts to SOC tooling
Dronevade is an in-progress platform that couples custom computer vision, RF sensing, and thermal imaging to help wildfire, utilities, and public safety teams detect unauthorized drones in real time.
< 120 ms
Latency
98.4%
Detection Accuracy
Jetson / Raspberry Pi
Edge Targets
Edge-ready pipelines
Quantized models, remote updates, observability hooks
Pilot-ready
Site surveys and demo deployments underway with wildfire agencies
Secure architecture
Air-gapped inference + encrypted telemetry
Ci
AI Platform Civqo
Cloud platform for visualizing codebases as cities. AI agent infrastructure with context recovery, session tracking, and decision tracing.
Claude CodeAI AgentsCloudflareFly.io
Co
XR / Spatial ContinuonXR
Spatial computing platform for robot control and XR interfaces. Evolved from LiveCaptionsXR with 612 commits in two months.
Android XRSpatial ComputingRobotics
Co
Embodied AI ContinuonAI
One brain, many shells—embodied AI for home robotics. Under $600 in parts with shared memory across robot bodies.
Embodied AIRaspberry PiUNIX Philosophy
Li
Accessibility LiveCaptionsXR
Spatial captions for XR platforms that keep deaf and hard-of-hearing users inside the conversation in virtual spaces.
XRReal-time AudioAccessibility
Delivery Approach
Clear phases keep AI work grounded in measurable outcomes while giving product, engineering, and operations teams full visibility into progress.
Discover & Scope
Feed user interviews, field studies, and feasibility prototypes into a concise technical charter and ROI model.
- Problem framing workshops
- Success metrics + instrumentation plan
- Data + hardware audit
Build & Validate
Ship iterative releases that pair robust ML pipelines with test harnesses, telemetry, and stakeholder demos.
- Model + pipeline development
- Edge deployment automation
- Hardware-in-the-loop testing
Launch & Scale
Operationalize the solution with playbooks, alerting, and continuous feedback loops to keep accuracy high post-launch.
- MLOps runbooks
- Performance dashboards
- Team onboarding + documentation
AI Engineering Expertise
CV
Computer Vision
Real-time detection, tracking, and geospatial analytics for mission-critical video.
ML
Machine Learning
Model prototyping, MLOps pipelines, and predictive systems aligned to business outcomes.
EDGE
Edge AI
Deployments on Jetson, Raspberry Pi, and embedded hardware with low-latency inference.