CTO/CPO · 10+ years experience

Product strategy.
Hands-on engineering.
Applied AI.

I’m Will, a product-minded technical founder building AI systems around real data and real workflows. I take problems from customer discovery through architecture, implementation and evaluation.

Explore my work ↓

12+ products from zero to marketScaled products from $0–10M ARRHundreds of thousands of usersExited founderForbes 30 Under 30, 2024

Selected work

From ambiguous problem
to working system.

What I built, the decisions behind it,
and what happened next.

01 / Applied AI · Geospatial intelligence

Vale

Founder & Engineer · 2026

Hundreds of millions of geospatial data points ingested

PlanningTerrainHazards

AWS ingestion worker

PostGIS → SiteReportField-level evidence · coverage · confidence

CLI / MCPGrounded answers

System architecture

Making fragmented land data usable by AI.

Built an AI land-intelligence system spanning hundreds of millions of geospatial data points, with agent-operated ingestion on AWS and cited site reports served through PostGIS and MCP.

MCPGrounded generationEvaluation design

296 English authorities ingested
6 MCP tools exposing 34 site-profile fields
62% → 89% rubric pass rate

Internal evaluation: 100 cases across 25 authorities.

Read the case study

02 / Venture building · Energy infrastructure

Metris Energy

Co-founder & CTO / CPO · 2023–2025

Tens of thousands of devices · millions of telemetry records

OEMs & devices5-min telemetry

Normalized energy dataBilling · performance · fault detection

System architecture

Building an energy startup from zero to market.

Co-founded a venture-backed energy startup, owning product strategy, engineering, hiring and technical sales. Took the platform from MVP to market and early signs of product–market fit, connecting tens of thousands of devices and ingesting millions of telemetry records.

Company buildingProduct strategyTechnical sales

Co-founder & CTO / CPO · secondary share sale

Read the case study

03 / Embedded delivery · Data architecture

Berrien Springs Public Schools

Fractional CTO · 2025

SIS + 2 LMSsCurriculumState data

One source of truthStudent · learning · reporting data

Admin workflowsPerformance benchmarks

System architecture

Turning fragmented student data into useful decisions.

Replaced dozens of linked Google Sheets with a unified data architecture connecting student information, two learning management systems, curriculum and state reporting. As sole engineer and fractional CTO, built bespoke administrative tools and student-performance benchmarks across district schools and state data.

Systems integrationData architectureCustomer delivery

SIS, two LMSs, curriculum and state reporting integrated
Dozens of linked Google Sheets replaced
Student-performance benchmarking across district and state

Delivered for a district with $100M in annual funding.

Read the case study

04 / Embodied AI · Robotics

Spice Terminator

Team project · LeRobot Worldwide Hackathon · 2025

24-hour build · top 30 global winner

Teleoperated demonstrations

GR00T N1.5 / SmolVLAFine-tuned for plate cleaning

SO-101 armDepth + RGB cameras

Web controlSynced 3D view

Training and control workflow

Teaching a robot to clean a plate.

In 24 hours, our team built an autonomous cleaning pipeline using an SO-101 arm, RealSense depth camera and RGB camera. We fine-tuned NVIDIA GR00T N1.5 and Hugging Face SmolVLA, and built a web platform connecting robot control, live camera feeds and a synchronized 3D view.

Vision-language-action modelsRobot control3D visualization

Top 30 globally · 3,000+ participants across 44 countries
Best Novelty Prize · London hackathon hosted by SoTA
Recognized by NVIDIA Robotics

Hugging Face LeRobot Worldwide Hackathon · June 2025.

Read the case study

How I work

Close to the customer.
Deep in the implementation.

01 / Understand

Find the useful problem.

Work with customers and domain experts to understand workflows, test demand and define a scope worth shipping.

02 / Build

Own the system.

Connect models, tools, APIs and data. Build the application and the infrastructure needed to make it useful.

03 / Evaluate

Learn from failures.

Separate retrieval failures from answer failures, inspect evidence, and use evaluations to guide changes.

More experience

A decade of building
and shipping products.

All work ↗

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.

Get in touch ↗LinkedIn ↗

Product strategy.
Hands-on engineering.
Applied AI.

From ambiguous problem
to working system.

Vale

Making fragmented land data usable by AI.

Metris Energy

Building an energy startup from zero to market.

Berrien Springs Public Schools

Turning fragmented student data into useful decisions.

Spice Terminator

Teaching a robot to clean a plate.

Close to the customer.
Deep in the implementation.

Find the useful problem.

Own the system.

Learn from failures.

A decade of building
and shipping products.

AchieveCE ↗

Lambda Function ↗

LifeOS ↗

Building AI that works
in the real world.

Product strategy.Hands-on engineering.Applied AI.

From ambiguous problemto working system.

Vale

Making fragmented land data usable by AI.

Metris Energy

Building an energy startup from zero to market.

Berrien Springs Public Schools

Turning fragmented student data into useful decisions.

Spice Terminator

Teaching a robot to clean a plate.

Close to the customer.Deep in the implementation.

Find the useful problem.

Own the system.

Learn from failures.

A decade of buildingand shipping products.

AchieveCE ↗

Lambda Function ↗

LifeOS ↗

Building AI that worksin the real world.

Product strategy.
Hands-on engineering.
Applied AI.

From ambiguous problem
to working system.

Close to the customer.
Deep in the implementation.

A decade of building
and shipping products.

Building AI that works
in the real world.