Independent finance AI judgment
I help finance-focused AI systems reason through valuation, diligence, forecasting, research, and operating models with less hand-waving and more testable judgment.
AI model training
I train and evaluate finance-focused AI systems by converting investment banking judgment into examples, rubrics, error patterns, and better answer standards.
Research systems
I build repeatable approaches for market research, diligence workstreams, model review, buyer mapping, and executive-ready decision materials.
Education signal
Highest Honors in Finance, Accounting, and Supply Chain Management gives me a cross-functional base for evaluating financial, operational, and accounting logic.
How I help
Useful AI work in finance needs the right examples, the right review standards, and a sharp sense for where confident answers go wrong.
Translate expert analysis patterns into prompts, preferred-answer examples, grading rubrics, and reviewer guidance for finance reasoning tasks.
Identify weak assumptions, inconsistent valuation logic, shallow diligence conclusions, buyer-fit issues, and unsupported strategic recommendations.
Design workflows for market maps, comparable-company analysis, precedent transactions, management materials, and structured diligence tracking.
Apply transaction experience to capital structure, ability-to-pay, pro forma analysis, cohort economics, unit economics, and executive communications.
Education
Academic training across finance, accounting, and operations supports the cross-disciplinary reasoning needed for finance AI.
B.S. with Highest Honors in Finance, Accounting, and Supply Chain Management. Summa Cum Laude, Beta Gamma Sigma, Dean's List all semesters, and Honors College top 5% recognition.
Supported courses across Finance, Accounting, and Operations Management, reinforcing technical concepts through instruction, grading, and student support.
Built and led a student organization around financial access, operating discipline, and team execution.
Mentored students preparing for finance recruiting, analytical work, and early-career execution standards.
Experience
The banking background is not the headline. It is the evidence behind the judgment used to train and evaluate finance reasoning.
Developing and training finance-focused AI models with domain judgment across financial reasoning, analysis quality, and model behavior.
Owned transaction-ready models, buyer maps, comps, precedents, diligence processes, and executive materials across sell-side, buy-side, and financing mandates.
Supported M&A, IPOs, equity capital raises, debt financings, and strategic alternatives with modeling, diligence, and management-team materials.
Built a foundation across investment banking, sales and trading, venture finance, startup operations, and business-school teaching.
Contact
Reach out about model training, financial reasoning evaluation, research systems, diligence workflows, or AI-facing finance projects.
Best fit: finance-aware AI work, model evaluation, structured analysis, and high-judgment research systems.
sapanpshah24@gmail.com