When you need gaps filled, problems solved, and the work executed — not high-priced PowerPoint presentations, confirmation bias, and a billable-hour meter.
Client work stays confidential; structure doesn't have to. The nine exhibits below are representative schematics — real architecture and real scale, with every name, figure, and identifier stripped. The structural counts are genuine, taken from the artifacts themselves. (The following exhibits are just graphic generalizations of a small sample of work and do not capture total complexity or analysis.)
A multi-billion-revenue operator ran a five-currency program for a global technology partner — regional engines, a Middle-East redistribution hub, resale lanes touching every region of the world. Its success was conjecture — asserted by the people incentivized to make it look like one; the numbers, the profitability, the truth had never been validated. The answer didn't exist until it was built.
THE SUBSTRATE IS NOT DECORATION — EVERY MARK BEHIND THE SCHEMATIC IS ONE OF THE 165 TABS, EVERY FAINT ARC ONE OF 4,545 CROSS-SHEET LINKS, DRAWN AT REDUCED DENSITY SO THE FLOW STAYS READABLE. THE SCENARIO BANK IS A STACK BECAUSE IT IS 43 CLONED ENGINES. AS THE MODEL COMES TOGETHER, THE DRIVERS BEHIND IT — LABOR, SHIPPING, DUTY, DEMAND ROUTING — LIGHT UP AND CONNECT.
LEAK LEDGER — SEVEN LANES BILLED WRONG AT ONCE, AMONG THEM: A STATUTORY REMITTANCE PAID TWICE · LABOR OVERPAID · CARRIER RATE INCREASES NEVER REPRICED · SLA ITEMS BILLABLE BUT NEVER BILLED · FIFO NON-COMPLIANCE QUIETLY DRAWING PENALTIES — EACH CALLED "INCONSEQUENTIAL." NOBODY HAD RUN THE MATH. TOGETHER: MILLIONS.
FORMULA CENSUS — 20,648 SUM · 11,293 OFFSET · 5,587 IFERROR · 1,914 ROUNDUP (headcount and kits always round up) · 0 NAMED RANGES
As found: five regional engines invoicing in five currencies — one cut of a program that sold worldwide — a settlement chain nobody had mapped, dual in-/out-of-SLA revenue ledgers, and seven lanes being billed wrong at once, led by a statutory payment remitted twice: an error that had survived committed local staff and an in-region outside audit-and-accounting consultancy, caught only by translating the source documents line by line. Every lane had been called inconsequential, because nobody had run the math. Together they were millions. As rebuilt: one machine from partner sell-through, through the Mid-East hub and worldwide resale lanes, to consolidated USD cash — anchored to an invoice-level actuals export. The internal read was "they'll never go for these terms." The model said the counterparty already knew the program was losing millions — and was counting on that fear. No bluff, no movement: they conceded on every lane, and the restructured economics carried the program into five new markets. Structural counts in the chips are real — taken from the workbook itself.
A production forecasting and trading-research system for wholesale power — weather, outages, and network topology streamed through 105 nightly stages, five model classes, a battery of hardened statistics, and a falsification layer whose entire job is to kill its own ideas. Built and operated solo.
THE FALSIFICATION LEDGER — 192 CLIMATE CELLS TESTED, 37 SURVIVE FDR CONTROL · 42 SIGNALS SCREENED ACROSS 1,108 NODES AND 1.79M NODE-DAYS, 0 PROMOTED · 176,281 EVENT-ADJACENCY TESTS, 0 VALIDATED — THE NAIVE NULL WOULD HAVE SHIPPED 8,500 FALSE FLAGS, AND THAT COLUMN IS KEPT ON THE ARTIFACT RATHER THAN DELETED.
SELF-INCRIMINATION BY DESIGN — ONE FORWARD PRICE MODEL SHIPS WITH TRUSTWORTHY = FALSE, PUBLISHING ITS OWN LOSING SCORE (MAE 9.41 VS PERSISTENCE 9.30) INSTEAD OF BEING TUNED UNTIL IT WINS · IT IS SCORED AGAINST THREE NAIVE BASELINES, ONE DELIBERATELY GIVEN MORE HISTORY THAN THE MODEL GETS · A FOURTH COMPARATOR IS LABELED IN THE ARTIFACT ITSELF AS “NOT A FAIR COMPETITOR” SO NOBODY CAN QUOTE IT.
THE STACK — DuckDB · POLARS · PARQUET LAKE · DAGSTER · GPU-LOCAL INFERENCE · WINDOWS SCHEDULER + WATCHDOG · 33-TAB DASH DESK · 78,337 LINES · 1,049 TESTS. THE STATISTICS — ROBUST Z (MEDIAN/MAD) · BENJAMINI–HOCHBERG FDR · PERMUTATION · SPLIT-HALF · WALK-FORWARD · SUPERPOSED-EPOCH · CUSUM REGIME BREAKS · CONFORMAL PREDICTION BANDS · QUANTILE REGRESSION.
Scale is the easy part. Six source lanes across 43 endpoints — market and settlement, transmission and network topology, generation and outages, fuel, weather and climate, entity registry — land in a 263-million-row lake with 5.6 years of hourly nodal history and 85 years of climate. A hundred and five stages rebuild it nightly, unattended, behind a watchdog that re-runs the night if the freshness manifest goes stale. Rigor is the hard part. Five model classes compete on identical folds; promotion is earned by a stated skill threshold against naive baselines, never by a person’s approval — and the falsification layer exists to destroy candidates, which is why its headline numbers are zeros. Every dollar claim reconciles against the market operator’s own settlement records: rank-based validation had passed three P&L bugs that only the dollar oracle caught. Architecture and scale shown; no signal, threshold, node, or position disclosed. Built on public market data.
A DC power-flow model of the ERCOT network rebuilt from the auction's own PSS/E case — exact shift factors for every bus, 11,016 element-by-contingency pairs that have actually bound, the stability limits that move by announcement — with a 2,176-asset generation fleet, a 1,789-project interconnection queue, and 59,563 unit outages pinned to the nodes they touch. Then one identity turns all of it into the value of any path — traded or not.
There are over a million possible paths; the engine never models them. It models the wires that bind — binding frequency times severity, per family, per month, per time-of-use — and reads every node's exposure to each wire straight off the network model. Value is additive across constraints, so a path nobody has ever traded is priced exactly like one that trades every month. Contingencies, stability limits, the fleet, the queue, and the outage book all live in the same coordinate system: the grid as it physically is, not as the price history remembers it.
Five weather regions and 85 years of climate, a 24-model ENSO plume, a seasonal load U-curve, gas at three hubs, the merit order of 992 plants, 5-minute grid telemetry — 127 covariates, each stamped with the day it became knowable. Two learned layers forecast the price at every node. A third prices the auction itself: the odds a bid clears, the winner's curse, and the 15.7% of paths the market pays you to hold.
The forecast is two layers: a physics prior counted from what the grid actually did, and a gradient-boosted correction that learns each node's basis and is graded on ranking, with uncertainty bands that are conformally calibrated rather than assumed. The auction layer is where most buyers lose — you pay the clearing price, not your bid, and the market runs about 1.7 losing trades per winner — so the engine prices the probability of clearing, the winner's curse, and the deration cap before a number reaches the ticket. What it never does is pull the trigger: bid submission sits outside every autonomy tier, permanently human.
A venture-backed company acquired with broken financials — production, pricing, cash, and valuation rebuilt from the ground up, down to the week each physical unit spends on the line.
FORMULA CENSUS — 1,567 SUMIFS bucket the cohorts · 825 MIN / 678 MAX clamp the ramps · 314 MONTH run the dates · 26 XNPV/XIRR sit at the top of the pyramid
Unit-by-unit, week-by-week: ~130 physical units each get a row in a weekly build plan — the fifth iteration of the sequencing; earlier versions are archived in the book. Hospitality economics fused to a factory cost stack, a four-stage cash conveyor where money leaves months before revenue exists, seven turnaround levers wired as switches, and a valuation not allowed to mean anything until four independent lenses agree. No fragile circularity anywhere: dated cash flows and one-way reference lanes — circular only where it makes a point.
Not a menu — a working arsenal. Statistical inference, pricing studies, market and marketing science, decision trees, risk matrices, cost-benefit — the question picks the instrument, and every answer is tied back to authoritative figures before anyone acts on it.
The instrument is chosen by the question — an elasticity study for the price, an expected-value tree for the deal, a 5×5 matrix for the risk, a cost-benefit for the spend — instruments designed from zero and validated to survive an adversarial read. And every number that reaches a decision is reconciled first: key-figure tie-out checks run automatically inside the pipelines, so the answer has already survived its own audit.
Linked-sheet architecture reconciling par, interest, and defeasance across operating and corporate entities — under three board-adopted scenario cases.
Architecture only — no figures, entities, or client identifiers shown. This is a representative schematic of the model class, not an actual deliverable.
Thirty-five-plus candidate financing scenarios, each overlaid on the issuer’s existing debt service. Revenue and operating cost are fixed; O&M is paid first out of revenue, and existing debt, new debt service, and lifecycle capex all draw on the CFADS that remains. Coverage stays red and unbankable until the new debt is sculpted and a reserve pre-funds the capex — then it clears the covenant, green across every period.
A project-finance cash waterfall, by year. O&M is paid first out of revenue, leaving CFADS. On top of the issuer’s existing debt service, each of 35+ candidate structures overlays its new debt service by year — and lifecycle capex lands in lumps from year 5 in differing amounts. When existing debt, new debt, and capex together outrun CFADS, coverage breaks. Base sets new debt flat and heavy and breaks in the ramp and every capex year; re-tenored sculpts it so the ramp clears, but capex still competes for the same cash; aligned sculpts the new debt and pre-funds a maintenance reserve, so DSCR clears its covenant every period. The three shown are representative of the full scenario set. Curves are illustrative shapes, not client figures.
The first tabs of the acquisition book aren't a model — they're a market argument. Four benchmark lenses anchor every assumption to the outside world, and the wedge they expose — hotel-grade rates on factory-grade cost per key — became the genesis of the investment raise.
Four benchmark sheets sit in front of the model — nightly rate against ~8 brands, build cost per key against every hotel category, operating margins, and a 26-line peer-ratio panel the SG&A glide path converges toward. They exist to make one argument: charge like a hotel, build like a factory. That wedge — anchored outside, then proven inside the 65-month engine — was the genesis of the investment raise. Bar heights are illustrative shapes, not client figures.
Gaps filled. Problems solved. Work executed — and validated against the numbers. That is the engagement.
EXHIBITS A–I ARE REPRESENTATIVE SCHEMATICS — STRUCTURE AND SCALE ONLY. STRUCTURAL COUNTS ARE TAKEN FROM THE ACTUAL ARTIFACTS; EVERY NAME, FIGURE, AND IDENTIFIER IS STRIPPED.