Moe Chabot
Founder at Deep-ML
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 (25)
convolution8
python8
api8
yahoo8
interpolation8
stock-data8
fundamental7
linear-algebra7
gradient-descent7
blas7
lapack7
ndarray7
finance7
yahoo-finance7
mpi7
Programming languages (4)
Github contributions (5)
Open-Deep-ML/DML-OpenProblem
Jul 2024 - Apr 2025
Contributions:150 reviews, 130 PRs, 100 pushes in 8 months
moe18/Image-Based-Airbnb-Pricing-Algorithm
Feb 2019 - Jan 2021
Contributions:12 commits, 11 pushes, 1 branch in 1 year 11 months
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