Selected work

Situations, decisions, and what came of them.

A small selection of roles and engagements, framed around the decisions involved rather than a list of responsibilities.

2023 — Present

Situation: Glazier Software serves glass and glazing contractors who priced jobs by manually measuring plans — a slow, error-prone process with no computer-vision-assisted estimating tool anywhere in the vertical.
Role: Chief Technology Officer, owning product strategy and technical architecture, and partnering directly with sales and executive leadership on the roadmap.
Approach: Directed development of a proprietary computer vision model to automate takeoffs — the glass industry's first tool of its kind — while building and scaling the engineering organization delivering the broader project management, invoicing, and operations platform contractors rely on as their system of record.
Outcome: The AI takeoff tool became a differentiator in sales conversations, with direct involvement contributing to roughly 75% of closed deals and about $750K in new revenue.

AI / computer visionVertical SaaSProduct strategy

2023

Situation: Leaf Advertising's data processing pipeline handled millions of advertising transactions but had grown costly to run and slow to process.
Role: Engineering Lead over a 6-person mobile, backend, and frontend team building on Angular, Node.js, and Google Cloud Platform.
Approach: Rewrote the pipeline architecture end to end, targeting the specific bottlenecks driving both compute cost and processing latency.
Outcome: Reduced infrastructure costs by 90% and improved processing performance by 10x.

Data pipelinesCost optimizationCloud architecture

2019 — 2023

Situation: Cresco Labs needed a reliable data platform to support a 3,000-person, roughly $1B-revenue company, after this engagement began as a greenfield ecommerce build.
Role: Director - Data Engineering & BI — started as principal engineer on the ecommerce platform, then grew into managing 4 data engineers, 1 data scientist, and 7 BI resources including 1 manager.
Approach: Overhauled the data warehouse architecture using Docker, ECS, Airflow, and Python for reliable pipelines, and rolled out a new quarterly planning methodology to increase visibility and execution accountability across the team.
Outcome: Built an ecommerce backend responsible for $125M in monthly revenue and created a data engineering team that attracted talent from across the company.

Data platformsTeam buildingEcommerce

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