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Sekou Foley

Co-Founder and CEO

USA flag
New York, Usa
$150.00/hrIntermediate

Key Skills

Software

No software listed

Top Subject Matter

Finance - Private Equity and Investment Banking
AI - Applied AI for Legacy Industries
Entrepreneurship

Top Data Types

TextText
DocumentDocument

Top Task Types

Text Generation
RLHF
Text Summarization
Evaluation Rating
Prompt Response Writing SFT

Freelancer Overview

My experience in AI training data sits at the intersection of finance domain expertise and hands-on data work. Through various AI training projects focused on private equity and financial services, I've contributed to initiatives including building and annotating LBO models, DCF analyses, and transaction comps that serve as high-quality training inputs for financial AI systems. The work requires not just technical modeling accuracy but the ability to reason through and articulate the logic behind financial decisions in a way that's actually useful for model training. What sets me apart is the depth of domain knowledge I bring to the labeling process. Most data annotators in finance can follow a template; fewer can identify when an assumption is institutionally credible versus naive, or explain why a particular capital structure makes sense given deal dynamics. My background at Lazard and Apollo means I'm drawing on real transaction experience when I evaluate or produce training data, which raises the quality ceiling meaningfully compared to someone working purely from textbook finance.

IntermediateEnglish

Labeling Experience

Reviewer

TextRLHF
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.

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.

2026 - Present

Education

U

University of Pennsylvania – The Wharton School

Bachelor of Science, Economics, Finance Concentration

Bachelor of Science
2018 - 2022

Work History

C

Calexo AI

Co-Founder and CEO

New York
2025 - Present
A

Apollo Global Management

Private Equity Associate

New York
2024 - 2025