Moe Chabot
Founder at Citi
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolMoe Chabot is a data scientist and founder with nine years of experience building ML-driven products that bridge research and production, currently leading Deep-ML and driving LLM + vector database innovation at Citi. He has a strong quantitative foundation from Baruch College and a track record of turning noisy, multi-source signals into actionable controls—most notably using Retrieval-Augmented Generation to reduce major customer complaints and regulatory exposure. Moe has applied deep learning across domains from cultural trend forecasting to legal case prediction, and he builds practical tooling (dashboards and web apps) that improve auditor visibility and accelerate signal ingestion. Colleagues describe him as a pragmatic innovator who pairs rigorous statistical thinking with hands-on engineering to deliver measurable business impact.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Business Administration - BBA Statistics and quantitative modeling, Bachelor of Business Administration - BBA Statistics and quantitative modeling at Baruch College
Github Skills (15)
api8
finance8
yahoo-finance8
python8
yahoo-finance-api7
stock-data7
pandas6
firebase6
numpy6
scientific-computing6
typescript4
nextjs4
crossword4
vector-database1
llm1
Programming languages (4)
Github contributions (5)
moe18/Image-Based-Airbnb-Pricing-Algorithm
Feb 2019 - Jan 2021
Contributions:12 commits, 11 pushes, 1 branch in 1 year 11 months
Open-Deep-ML/DML-OpenProblem
Jul 2024 - Mar 2026
Contributions:215 reviews, 159 PRs, 120 pushes in 1 year 8 months
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