Featured · writing and press

Words, externally validated.

Features, expert commentary, and one book-length act of public service. Everything links to the source, because claims without citations are just vibes.

Byline · CFO.com

The op-ed CFOs are reading this week.

July 2026 CFO.com

3 questions CFOs should answer before the next AI capital approval

A byline on the moment an AI investment stops being a slide and meets an external auditor, and the three questions to settle before you sign off.

Read on CFO.com ↗
Press features · Business Insider

Four features and counting.

June 2026 Business Insider

How tech workers at Amazon and Google use AI to save time

On the day-to-day reality of AI at work, beyond the keynote slides.

Read on BI ↗ May 2026 Business Insider

Amazon employees on AI, layoffs, and RTO tracking

Perspective from inside one of tech's biggest transitions.

Read on BI ↗ April 2026 Business Insider

Layoffs, artificial intelligence, and the future of tech jobs

What changes for the people building the systems doing the changing.

Read on BI ↗ March 2026 Business Insider

A day in the life of an Amazon data scientist in Seattle

The personal feature: the commute is short, the models are not.

Read on BI ↗
Expert commentary · Financial Tech Times

Cutting through the AI-in-finance hype.

July 2026 Financial Tech Times

Six common misconceptions about AI in finance, debunked

On why validation, traceability, and human accountability, not chasing the most autonomous agent, are what get AI in finance right.

Read on Financial Tech Times ↗
Peer review · Journals and venues

Reviewing for the journals.

Invited to referee and review for peer-reviewed journals across derivatives, credit risk, model validation, and machine learning. Each links to the journal itself.

Invited referee

The Journal of Derivatives

Portfolio Management Research; peer-reviewed derivatives research since 1993. The completed review was commended by the Editor-in-Chief.

Reviewer pool

Journal of Credit Risk

Risk.net / Infopro Digital; peer-reviewed research on credit-risk modelling and management.

Visit journal ↗ Reviewer pool

Journal of Risk Model Validation

Risk.net / Infopro Digital; dedicated to the theory and practice of model validation.

Visit journal ↗ Reviewer board

Journal of Risk and Financial Management

MDPI, open access; quantitative risk and financial modelling.

Visit journal ↗ Reviewer · Ethics track

NeurIPS 2026

The Conference on Neural Information Processing Systems, a leading venue in machine learning.

Visit conference ↗
Research · Working paper

On the page, not just in production.

SSRN · Quantitative Finance

Advanced Numerical Methods for American Option Pricing

A comparative study of recombining lattices (binomial and trinomial trees) and regression-based Monte Carlo (Longstaff-Schwartz) for pricing American options, weighing convergence, computational cost, and accuracy on the early-exercise boundary.

Read on SSRN ↗
Expert commentary · CFO Drive

When finance leaders ask, I answer in print.

2025 CFO Drive

Cash flow forecasting methods that deliver accuracy

On forecasting approaches that survive contact with actuals.

Read on CFO Drive ↗ 2025 CFO Drive

Technology investments that transformed finance department effectiveness

Measuring ROI on finance tech, with implementation notes from the field.

Read on CFO Drive ↗ 2025 CFO Drive

Financial metrics for evaluating sustainability and ESG investments

Putting numbers on the investments everyone agrees are important.

Read on CFO Drive ↗
Gupta · Mehta Quant Finance Interview Guide: Graduation to Job Offer Zenodo · Open access

11,000+ downloads. 9,300+ views. Zero paywalls.

A complete preparation guide for quantitative finance interviews, co-authored with Mehul Mehta and published open access on Zenodo. From stochastic calculus warm-ups to the behavioral round, written for people who want the offer, not the mystique.

Interact with the book Download on Zenodo ↗

Working on something? I talk to journalists and editors about AI and quant finance.

Agentic AI and model risk, AI governance in regulated finance, derivatives pricing and Monte Carlo methods, Value at Risk and portfolio analytics, volatility and market structure, credit risk modeling, and what it is actually like to ship AI inside a large company. Personal capacity, my own views, fast replies.

Email me