Six briefs on work I have actually shipped — what the problem was, what I built or brokered, and what it produced. Where a client has not cleared their name for publication, the work is described without it.
Replaced manual, Excel-bound screening workflows with automated ingestion and production analytics pipelines.
Analysis time for midstream energy assets collapsed from 60 hours to 60 minutes.
Capacity expanded from 12 to 385 evaluations/month per analyst group, measured over the engagement.
Developed a real-time trucking route optimizer featuring dynamic cost calculation and extensive data scraping of facility infrastructure.
Built a working MVP in one week.
Routes could be adjusted in real time, cutting variable transport costs for energy producers.
Built a PostgreSQL database and optimized Python pipelines to visualize high-potential asset footprints and competitor market shares.
Automated the extraction of price curves (AECO/AESO/WTI) and integrated production accounting for instant financial oversight.
Due diligence reports that used to take weeks of manual reconciliation across departments now came out on demand.
Built an independent platform for accelerating trust and aligning capital across energy, digital infrastructure and government.
Engaged 400+ executives across 80+ organizations in year one, and stayed in the room until deals moved.
Scaled strategic partnerships from 25 to 120+, building a network of sovereign wealth, private equity and C-suite leaders.
Built a deal-flow and decision-support platform covering sourcing, screening and diligence in a single pipeline. Client not named at their request.
The client moved from deploying $10M over twelve months to $90M over six — roughly an 18× increase in capital deployed per month.
Screening capacity stopped being the constraint on how fast the fund could put money to work.
Rebuilt operations around agentic systems across six functions: project management, marketing, operations, prospecting, board reporting and financial management.
Over seven months, monthly operating costs fell from roughly $7–10K to under $1K across those functions.
The systems were built in response to operational failure, not as an experiment. Human judgment stayed on partnerships, pricing and anything with a relationship attached.
Every one of these started as a specific bottleneck. If you're carrying one like it, send it over and I'll tell you whether I can help.
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