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kylewandishin/README.md

Kyle Wandishin

Boulder, CO | Founder | CTO | Automation Engineering




What I Do

I build systems that make work feel lighter.

Not giving you another dashboard.

Not by adding new steps to your process.

But, by removing the parts that shouldn’t exist in the first place.

Right Now

I’m building Arterial — turning everyday driving into infrastructure intelligence.

  • Roads are observed passively
  • Hazards are detected automatically
  • Depth is estimated without LiDAR
  • Cities get prioritized, actionable work

No surveys. No manual audits. No wasted time and money.

How I Think

Skilled people should work on skilled work. We should be creating systems to make this happen and push the world to a better place where the amazing skilled people we work with are not being held back by mundane tedious tasks.

Where I Spend My Time

  • Computer Vision / Depth
  • Turning raw imagery into measurable, structured data Monocular depth → real-world dimensions
  • Detection → classification → prioritization
  • Systems & Infrastructure
  • Event-driven pipelines
  • High-volume inference at low cost
  • Data lakes with geospatial enrichment
  • Enterprise Automation
  • ERP/CRM System Integrations
  • Boomi / Celigo orchestration
  • Fixing broken data flows that nobody owns

A Few Things I’ve Built

Arterial

Using computer vision and geospatial context to detect and assess the infrastructure in our cities to build smarter and safer communities

Healthcare Wiki (UCHealth)

Wrote a native mobile app to make critical healthcare information instantly accessible for emergency room staff which reduced unnecassary supervisor calls by ~80%

Deforestation Detection

Used satelite imagery and AI to detect illegal deforestation and help governments in Australia create a greener future.

Systems Integrations and Data

Used CDC and event streams to connect dozens of fragmented systems for billion dollar companies.

Reach Out

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  1. kylewandishin kylewandishin Public

  2. dawsbot/eth-labels dawsbot/eth-labels Public

    📃 A public dataset of crypto addresses labeled

    HTML 266 50