I work in the seat between engineering and finance, where the assumptions have to be defensible, the numbers have to hold up under outside scrutiny, and someone has to bridge technical reality with the capital case.
P.Eng and MBA, with a career across oil sands engineering, capital markets, renewable project finance, market intelligence, policy, and AI automation. Energy, climate, and industrial teams bring me in to turn messy technical, financial, and regulatory problems into clear decisions, working models, and finished artifacts they keep using.
I am most useful when the problem is too analytical for a general operator, too commercial for a pure engineer, and too messy for a standard consultant.
What I do best
Techno-economic models for CCUS, hydrogen, geothermal, renewables, methane abatement, and clean fuels, built so the assumptions hold up in front of a board, lender, or regulator.
Capital decisions in technical environments: diligence, NPV and IRR work, scenario analysis, project finance structuring, and capital planning across industrial portfolios.
Infrastructure and impact analysis: socio-economic and community impact frameworks, readiness and risk assessments, scoring systems, and business cases for major projects.
Translation between engineers, CFOs, investors, and policy people, so the same numbers produce aligned decisions.
Analytics and data systems behind the decision: dashboards, market intelligence, and model pipelines that stay transparent instead of becoming black boxes.
Bespoke tools and automation that turn a slow, manual, or invisible process into something faster and clearer, built and shipped: internal apps, runnable models, and workflow automation that gives a team its time back.
Where I fit
Where I’m most useful
- Climate tech companies making their economics defensible for investors, lenders, or grants.
- Developers and operators evaluating or financing energy, industrial, or infrastructure projects.
- Investors and corporate development teams running diligence on technical businesses or assets.
- Industrial and regulated portfolio operators improving capital allocation.
- Public and Indigenous-led infrastructure initiatives needing defensible impact and readiness analysis.
- Founders who need an analytical seat for a few months before a full-time hire.
When to reach out
- A project or company has uncertain economics that must hold up to outside scrutiny.
- A fundraise, board decision, or regulatory submission is a few months out and the analysis is not yet tight.
- The organization is missing the seat between engineering and finance.
- An investor needs a quick, defensible read on a technical opportunity before committing capital.
- A major project needs a clearer quantitative spine before a client, board, or regulator sees it.
- Someone needs fractional help that produces a finished artifact rather than slides.
Background
I started in upstream oil and gas, moved through equity research and utility-scale solar finance, then spent years in energy policy. I have managed capital planning for large industrial portfolios, closed solar financing, built analytics pipelines across 70+ datasets, supported regulator-facing analysis, and built and operated ventures from scratch through exit.
That mix gives me a practical lens: technical enough to understand the asset, financial enough to test the business case, and operational enough to know what survives contact with real teams. Python is my primary language and open source is my default. Outside work I make things, woodworking, 3D printing, home automation. Same instinct, different materials.
How to engage
Fractional or project-based. The work is always a finished artifact the team keeps using: a defensible model, a diligence read, board and investor materials, or a tool that gives the team its time back.
A selection of recent client work: operator-level emissions economics, a browser-native gas fundamentals model, and an economic impact API rebuilt from legacy code, with more on the projects page.
If a project or decision needs a clearer quantitative spine, get in touch: [email protected] | LinkedIn.