AI Leader · Author · PhD

Dr. Selim
Mimaroglu

Director of GenAI & Data Science · Fannie Mae

24 years turning analytics, AI, and generative AI into real outcomes across financial services and energy. Building enterprise-scale AI that actually works — beyond the hype.

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Dr. Selim Mimaroglu
24+
Years in AI
100+
Production Models
5
U.S. Patents
16+
Publications
Dr. Selim Mimaroglu portrait

Turning AI into
lasting enterprise value

I'm Selim Mimaroglu, Director of Generative AI and Data Science at Fannie Mae, where I oversee the integration of LLMs, RAG, fine-tuning, and MLOps to shape the future of housing finance through AI.

Previously, as Director of AI at Oracle Utilities, I built the AI Center of Excellence from the ground up — scaling from zero to 100+ production models serving tens of millions of customers across energy efficiency, grid management, and renewables.

I hold a PhD in Computer Science from UMass Boston, a Professional Certificate in Product Management from MIT, and have taught data science at George Washington University and UMBC.

Generative AI LLMs & RAG MLOps AI Governance Responsible AI Energy AI Housing Finance

Where I've done the work

Fannie Mae · Washington, DC

Director of Generative AI & Data Science

Dec 2025 – Present

Leading full-stack GenAI deployment including LLMs, RAG, and fine-tuning. Overseeing AI/ML lifecycles via MLOps on cloud, with rigorous governance and ethical AI protocols.

Oracle · Washington, DC

Director of AI

Mar 2018 – Sep 2025

Built Oracle Utilities' AI CoE from zero to 100+ production models. Delivered GenAI, LLM, and agentic initiatives; drove patents, publications, and responsible AI governance.

Sabre Corporation · Southlake, TX

Manager of AI Consulting

Aug 2015 – Mar 2018

Led enterprise consulting engagements, delivering predictive modeling, pricing, recommender systems, and fraud-detection solutions.

Academia & Startups

Professor · CEO · Developer

2002 – 2015

Adjunct Professor at GWU & UMBC; Associate Professor in Istanbul; Co-founder & CEO of AI startups; Developer at Vertica Systems; Computer Information Specialist, U.S. Federal Government.

Enterprise AI Productivity book cover
Forthcoming 2026

Enterprise AI Productivity

Success Beyond the Hype

A practitioner's guide to deploying AI that delivers measurable results in large organizations — navigating strategy, governance, MLOps, and change management without falling for the hype.

Published by Pearson / Oracle Press
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Education

PhD & MS in Computer Science, UMass Boston
Professional Certificate in Product Management, MIT
BS in Electrical & Electronics Engineering, Hacettepe University

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Research & IP

5 issued U.S. patents with 2 pending applications. 16+ peer-reviewed journal and conference publications in AI, machine learning, and data science.

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Recognition

Innovation Award, Oracle
Award of Excellence, U.S. Federal Government
Author — Enterprise AI Productivity (Pearson, 2026)