Strategic finance by trade, engineer in practice. I design the workflow, write the code, and check the output before it reaches anyone.
Infrastructure economics for a product portfolio moving beyond its current pricing model. Unit cost frameworks where there is no precedent to copy.
Sole FP&A owner for a $1.3B annual technology OpEx portfolio across cloud, data infrastructure, SRE and AI compute. Built the AI compute unit economics model, and the seat-level usage model that let Procurement commit to forecast consumption in a vendor negotiation and secure a 12% discount.
Revenue, margin, pricing and volume modelling across the commercial portfolio, with scenario and sensitivity analysis on pricing strategy.
Full-cycle and project cost accounting for multi-year developments: capitalisation, cost-to-complete, and US GAAP statements.
I am a finance analyst who writes the software my team uses. At Indeed I owned FP&A for a $1.3B technology OpEx portfolio — cloud, data infrastructure, SRE and AI compute — and built the AI compute unit economics model that put roughly $2 to $3 of supporting infrastructure cost behind every $1 of direct LLM spend. I am now at Rippling as a Strategic Finance Senior Associate, partnering with R&D on infrastructure economics.
The work I am most interested in sits between the two. I author the agent skills my team invokes by name, ship Python to production, and replaced recurring manual analysis with governed Snowflake pipelines. AI-assisted development is my primary workflow rather than an accessory: I design the workflow, write the prompt, and validate the output before it reaches a stakeholder.
The rare part is the translation layer. I can talk to the model and to the senior finance leader who has never opened a terminal, and the tools above are what happens when the same person does both. CPA candidate, three of four sections passed, licensure expected Q1 2027. B.S. Accounting, West Virginia University.