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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.

Safety & Mobility

Wildfire, utilities, micromobility

Stack

YOLOv8 · TensorRT · Jetson · WebRTC

Focus Areas

Computer Vision · Sensor Fusion · Accessibility

Engagements

Rapid prototyping → Enterprise rollouts

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

Bi
Mobility Safety

BicycleRadar

Predictive safety radar that blends sensor fusion with ML to warn cyclists about vehicles, near misses, and hazardous routes.

Sensor FusionPredictive MLEdge AI
He
Fire Safety

HeatCompass

Thermal anomaly detection that helps wildfire crews and utilities identify hotspots before ignition or equipment failure.

Thermal VisionAnomaly DetectionEdge AI

Delivery Approach

Clear phases keep AI work grounded in measurable outcomes while giving product, engineering, and operations teams full visibility into progress.

Book a working session

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.