Reviewer
Engaged as a domain expert contributor on an AI training data project focused on teaching financial models to replicate the day-to-day workflow of a private equity professional. Work included producing and annotating LBO models, DCF analyses, leveraged buyout scenarios, and transaction comparables at the quality standard expected of an analyst or associate at a top-tier PE firm. The goal was to generate training data that captured not just mechanical modeling accuracy but the judgment calls, assumption-setting, and interpretive reasoning that experienced practitioners apply instinctively. Outputs were used to improve the financial reasoning capabilities of large language models being developed for institutional finance applications.