Product Work

Products shipped.
Value delivered.

Deep dives into the products I've built — the strategy, the decisions, the tradeoffs, and what happened next.

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IoT · Building Analytics · $100M Exit

ControlScope: Building Analytics Across Thousands of Sites

A sensor-driven analytics platform that brought predictive maintenance and operational intelligence to thousands of small commercial buildings — deployed across tens of thousands of sensors spanning HVAC, lighting, motion, power, and environmental monitoring.

The Problem

  • Small commercial buildings had no visibility into equipment health or energy performance
  • Maintenance was entirely reactive — problems discovered only after something failed
  • Site visits were unplanned and inefficient — technicians arrived without knowing what equipment was needed
  • No unified view across distributed building portfolios

What I Built

  • Analytics platform ingesting data from HVAC, lighting, motion, temperature, humidity, and power meter sensors
  • Predictive maintenance models that surfaced anomalies before failures occurred
  • Site visit optimization — pre-visit equipment checklists generated from live sensor data
  • Multi-building dashboard giving operators a single view across thousands of sites

The Outcome

  • Scaled to thousands of buildings with tens of thousands of sensors in production
  • Predictive alerts replaced reactive maintenance calls across the customer base
  • Site visits became more effective — right equipment on every truck roll
  • Core member of the team through Daintree's $100M acquisition by GE
$100M
GE Acquisition
10,000s
Sensors Deployed
1,000s
Buildings
IoT Analytics Predictive Maintenance Building Intelligence
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Computer Vision · IoT · Vertical SaaS

Peek: Computer Vision Platform for Physical Spaces — 50%+ YoY Growth

An AI-powered analytics platform that turns any camera into a business intelligence tool — occupancy, flow, security, and operational insights for self-storage, retail, and smart buildings.

The Problem

  • Self-storage and retail operators were blind to what was happening inside their facilities
  • Security cameras generated footage no one watched and no one learned from
  • Pricing decisions were made on intuition, not occupancy data
  • Existing solutions required expensive dedicated hardware or custom integrations

What I Built

  • Computer vision pipeline running on existing IP cameras — no new hardware required
  • ML models for occupancy tracking, people flow analysis, and anomaly detection
  • Dynamic pricing recommendation engine — suggested rate adjustments based on real-time demand
  • Multi-site dashboard with alert system and API for third-party integrations

The Outcome

  • 50%+ YoY revenue growth in the AI/IoT platform business at Vantiva
  • Average revenue lift of 12% per facility from dynamic pricing recommendations
  • Partnership deals signed with 3 of the top 10 US self-storage REITs
50%+
YoY Growth
$5M+
P&L Ownership
12%
Revenue Lift
Computer Vision IoT Vertical SaaS
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IoT · Smart City · Edge Computing

Echelon Luminsight: Street Light Networks as a Smart City Backbone

Transformed municipal street lighting networks into a multi-application IoT backbone — enabling traffic counting, gunshot detection, environmental monitoring, and public safety applications to ride a single connected infrastructure across North American cities.

The Problem

  • Cities had millions of connected street light nodes with no ability to run applications beyond dimming control
  • Smart city initiatives required costly dedicated sensor networks built from scratch for each use case
  • Traffic data, public safety sensing, and environmental monitoring were siloed and expensive
  • No platform to let third-party applications share a single city-wide IoT network

What I Built

  • Luminsight platform — an edge compute layer embedded in street light controllers running the IzoT networking protocol
  • Traffic counting via edge-processed camera feeds — vehicle and pedestrian counts without sending raw video to the cloud
  • Gunshot detection integration — acoustic sensors riding the street light network as a city-wide sensor array
  • Open application framework letting city agencies and third-party vendors deploy use cases on shared infrastructure

The Outcome

  • Grew from $0 to $1M ARR in under 12 months
  • Delivered live customer deployments across 5 North American cities in under a year
  • Managed 20 people across product and engineering through the build-out
  • Established Luminsight as the reference platform for IoT-enabled smart city infrastructure
$0→$1M
ARR in 12 Months
5
North American Cities
20
Person Team
Smart City IoT Edge Computing
Product Philosophy

How I build

01

Value first, features second

Every feature decision starts with one question: what business outcome does this create? Roadmaps built on features are a liability. Roadmaps built on outcomes compound.

02

Find the wedge

The best products win because they solve one thing impossibly well — not ten things adequately. Identify the wedge, dominate it, then expand from a position of strength.

03

Build for acquisition or IPO from day one

Clean architecture, documented decisions, clear metrics, defensible moat. Products that get acquired aren't built differently — they're built with the end in mind from the start.

04

AI as product, not feature

Bolting LLMs onto existing workflows creates demos. Rebuilding the workflow around AI creates moats. The AI should change what's possible, not just what's convenient.

Fractional CPO Available

Need a product leader who ships?

I work with B2B SaaS companies as a fractional CPO or Head of Product — embedded in your team, focused on your biggest product bets.

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