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Venture building · Energy infrastructure

Metris Energy

Building an energy startup from zero to market.

Co-founder & CTO / CPO · 2023–2025Co-founder & CTO / CPO · secondary share sale

Tens of thousands of devices · millions of telemetry records

OEMs & devices5-min telemetry
Normalized energy dataBilling · performance · fault detection
System architecture

Overview

I co-founded Metris Energy from zero and served as CTO / CPO, building both the product and the organization behind it. We raised millions in venture funding, built an MVP and took it to market. I owned product strategy, engineering, technical sales, hiring, people management and customer onboarding.

The company evolved from rooftop-solar assessment into an OEM-agnostic platform for commercial renewable-energy assets. The engineering ultimately connected tens of thousands of energy devices and ingested millions of telemetry records across manufacturers.

Building the company and finding the product

The initial product assessed rooftop solar potential and designed systems using LiDAR, satellite and aerial imagery. I led customer discovery, product strategy and repeated pivots as we learned where customers had a pressing operational need.

That work led us toward commercial energy asset management. I translated customer workflows into product scope, led the development and launch of the MVP, and worked directly on technical sales and onboarding. We found early signs of product–market fit; the company subsequently raised a further $5M seed round.

This was a company-building role spanning the commercial, product and technical work needed to get a new business into market. Alongside hands-on delivery, I hired and managed people and owned engineering priorities as the product and customer needs evolved.

Engineering at the scale of commercial renewables

The platform connected tens of thousands of commercial energy assets and devices across OEMs and ingested millions of telemetry records. We normalized five-minute telemetry for commercial PPA billing, asset-performance analysis and predictive fault detection.

The integration challenge went beyond connecting APIs. Different manufacturers exposed different representations of device and asset data, which had to become a common operational model that could support customer workflows across a mixed portfolio.

I owned the product and engineering decisions connecting that infrastructure to a usable commercial platform: what to build, how to scope it, and how to deliver it alongside technical sales, onboarding and team development.

My exit

I later sold my shares in a secondary transaction. Metris continues to operate.

What I bring to Applied AI delivery

Metris required the same combination of customer understanding, product judgment, hands-on implementation and organizational ownership that complex AI deployments demand. Vale builds on that experience with model integration, grounded generation and evaluation design.

Let’s talk

Building AI that works
in the real world.

I’m exploring Applied AI and Forward Deployed Engineering roles where I can work closely with customers, write code, and own delivery.